City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
04/05/2026
Full time
City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
Quanata is on a mission to help ensure a better world through context based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend the best Silicon Valley talent and cutting edge thinking with the long term backing of leading insurer, State Farm. Learn more about us and our work at Our team ranges from data scientists and actuaries to engineers, designers and marketers. We're a world class group of tech minded professionals from some of the best companies in Silicon Valley and around the world, united to create the context based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology-it's hiring talented people who will help us continue to make a quantifiable impact. The role We're seeking a senior backend engineer to build and enhance the critical services that power our business. You'll be developing systems that manage core financial and underwriting operations, coordinating dynamic machine learning models to increase the intelligence of our industry leading policy management solution, and optimizing our application's architecture and observability to meet the performance and reliability demands of our customers. Design and implement client facing and internal APIs Orchestrate data flows between backend systems Create and manage database schemas Build automated test suites Lead the design and implementation of substantial product features end to end Evaluate and integrate with third party services and tools Help to mentor mid level and junior engineers on your team About you Bachelor's degree or equivalent experience 5-7 or more years of experience in a full stack or backend role Proficient in Go Experience designing, developing, debugging, and deploying high performance client/server systems for mission critical applications Familiarity with a wide variety of database and messaging systems, with opinions on which to use when Comfort working with cloud based infrastructure providers and modern CI/CD Knowledge of security and testing best practices Strong communication and collaboration skills Growth mindset, and the humility to model it for others Willingness to take initiative and accountability Prior experience as a technical lead or people manager Familiarity with GraphQL, gRPC, Postgres, Mongo, Snowflake, Kafka, Python, TypeScript, Docker, Kubernetes, and AWS Experience in a financial sector such as insurance, banking, or investing Salary: $195,000 to $280,000 The final salary offered will be determined based on the candidate's skills, experience, and the internal salary structure at Quanata. Benefits: Medical, dental, vision, life insurance and supplemental income plans; Headspace app subscription; monthly wellness allowance; 401(k) with company match. Work from Home Equipment: One time payment of $2,000 to cover in home office equipment and furniture; MacBook Pros will be delivered fully provisioned. Paid Time Off: Four weeks of PTO in the first year; twelve weeks of fully paid parental leave for new parents. Personal and Professional Development: Up to $5,000 annually for professional learning; LinkedIn Learning subscriptions; coaching opportunities through BetterUp. Location: Remote first company; work from anywhere in the U.S. (excluding U.S. territories). Employees in the San Francisco Bay Area or Providence, Rhode Island may commute to local offices as desired. Occasional travel may be requested or encouraged but is not required. Hours: Core meeting hours from 9 AM to 2 PM Pacific Time for collaboration across time zones. Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.
04/02/2026
Full time
Quanata is on a mission to help ensure a better world through context based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend the best Silicon Valley talent and cutting edge thinking with the long term backing of leading insurer, State Farm. Learn more about us and our work at Our team ranges from data scientists and actuaries to engineers, designers and marketers. We're a world class group of tech minded professionals from some of the best companies in Silicon Valley and around the world, united to create the context based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology-it's hiring talented people who will help us continue to make a quantifiable impact. The role We're seeking a senior backend engineer to build and enhance the critical services that power our business. You'll be developing systems that manage core financial and underwriting operations, coordinating dynamic machine learning models to increase the intelligence of our industry leading policy management solution, and optimizing our application's architecture and observability to meet the performance and reliability demands of our customers. Design and implement client facing and internal APIs Orchestrate data flows between backend systems Create and manage database schemas Build automated test suites Lead the design and implementation of substantial product features end to end Evaluate and integrate with third party services and tools Help to mentor mid level and junior engineers on your team About you Bachelor's degree or equivalent experience 5-7 or more years of experience in a full stack or backend role Proficient in Go Experience designing, developing, debugging, and deploying high performance client/server systems for mission critical applications Familiarity with a wide variety of database and messaging systems, with opinions on which to use when Comfort working with cloud based infrastructure providers and modern CI/CD Knowledge of security and testing best practices Strong communication and collaboration skills Growth mindset, and the humility to model it for others Willingness to take initiative and accountability Prior experience as a technical lead or people manager Familiarity with GraphQL, gRPC, Postgres, Mongo, Snowflake, Kafka, Python, TypeScript, Docker, Kubernetes, and AWS Experience in a financial sector such as insurance, banking, or investing Salary: $195,000 to $280,000 The final salary offered will be determined based on the candidate's skills, experience, and the internal salary structure at Quanata. Benefits: Medical, dental, vision, life insurance and supplemental income plans; Headspace app subscription; monthly wellness allowance; 401(k) with company match. Work from Home Equipment: One time payment of $2,000 to cover in home office equipment and furniture; MacBook Pros will be delivered fully provisioned. Paid Time Off: Four weeks of PTO in the first year; twelve weeks of fully paid parental leave for new parents. Personal and Professional Development: Up to $5,000 annually for professional learning; LinkedIn Learning subscriptions; coaching opportunities through BetterUp. Location: Remote first company; work from anywhere in the U.S. (excluding U.S. territories). Employees in the San Francisco Bay Area or Providence, Rhode Island may commute to local offices as desired. Occasional travel may be requested or encouraged but is not required. Hours: Core meeting hours from 9 AM to 2 PM Pacific Time for collaboration across time zones. Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies. If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.
Join to apply for the Senior Software Engineer, ML Platform role at SoFi 1 day ago Be among the first 25 applicants Join to apply for the Senior Software Engineer, ML Platform role at SoFi Get AI-powered advice on this job and more exclusive features. This range is provided by SoFi. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $128,000.00/yr - $240,000.00/yr Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: At SoFi, our mission is to help people achieve financial independence and realize their ambitions. Within FROST (Fraud, Risk, Operations & Support Technology), we are seeking a Senior Software Engineer to join the Machine Learning Platform team. This team's charter is to build an enterprise-grade ML platform that not only powers SoFi's fraud detection and risk mitigation use cases, but also provides scalable, self-serve capabilities that can be leveraged by teams across the company. The landscape of artificial intelligence and machine learning is evolving rapidly, and SoFi is at the forefront of applying these technologies to protect our members and enable smarter financial services. Our ML Platform team plays a critical role in accelerating model development, deployment, and monitoring, empowering data scientists and engineers to innovate with speed while ensuring compliance, scalability, and reliability. As a Senior Software Engineer on the ML Platform team, you will help design and build the foundation for SoFi's ML ecosystem. You will develop services, frameworks, and tooling that support the entire ML lifecycle, from feature generation to training pipelines, batch and online inference, CI/CD integration, and monitoring. While the team focused on Fraud use cases, your work will have company-wide impact, enabling ML-driven capabilities across diverse product areas. If you are passionate about building high-scale platforms, thrive on technical challenges, and want to work at the intersection of ML, fraud prevention, and financial technology, we encourage you to apply. What you'll do: Design, build, and maintain scalable, reliable, and secure services that form the backbone of SoFi's ML Platform. Develop frameworks and tooling for feature generation, model training pipelines, batch and online inference, and real-time monitoring. Collaborate with Data Science, Risk, and Product teams to understand requirements and translate them into robust technical solutions. Participate in shaping the long-term technical architecture and platform vision for ML at SoFi. Drive operational excellence by ensuring services are observable, resilient, and cost-efficient. Contribute to and enforce engineering best practices including CI/CD, testing, and code quality. Mentor and support junior engineers, helping foster a culture of growth, innovation, and accountability. Proactively generate ideas for new capabilities and improvements to empower SoFi's ML practitioners. What you'll need: Bachelor's Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience. 4+ years programming experience, ideally on a modern tech stack. Experience building and maintaining distributed systems or microservices at scale. Strong understanding of data infrastructure and working with relational databases (e.g., PostgreSQL) and/or big data systems. Hands-on experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes). Familiarity with ML workflows, including model training, batch/online inference, or feature pipelines. Strong sense of ownership; ability to take a project from inception to production. Experience collaborating in agile teams with Git, code reviews, and CI/CD pipelines. Commitment to operational excellence, with experience in observability and monitoring (e.g., DataDog). Nice to have: Experience with ML frameworks and/or feature platforms (SageMaker, Flink, Spark, TensorFlow, PyTorch, etc.). Strong proficiency in Java and/or Kotlin. Experience scaling highly available, mission-critical systems. Familiarity with fraud detection, risk management, or financial services domains. Experience mentoring engineers and contributing to technical culture. Interest in personal finance and helping people achieve financial independence. Compensation And Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email . Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology Referrals increase your chances of interviewing at SoFi by 2x Get notified about new Senior Software Engineer jobs in San Francisco, CA. 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04/02/2026
Full time
Join to apply for the Senior Software Engineer, ML Platform role at SoFi 1 day ago Be among the first 25 applicants Join to apply for the Senior Software Engineer, ML Platform role at SoFi Get AI-powered advice on this job and more exclusive features. This range is provided by SoFi. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $128,000.00/yr - $240,000.00/yr Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: At SoFi, our mission is to help people achieve financial independence and realize their ambitions. Within FROST (Fraud, Risk, Operations & Support Technology), we are seeking a Senior Software Engineer to join the Machine Learning Platform team. This team's charter is to build an enterprise-grade ML platform that not only powers SoFi's fraud detection and risk mitigation use cases, but also provides scalable, self-serve capabilities that can be leveraged by teams across the company. The landscape of artificial intelligence and machine learning is evolving rapidly, and SoFi is at the forefront of applying these technologies to protect our members and enable smarter financial services. Our ML Platform team plays a critical role in accelerating model development, deployment, and monitoring, empowering data scientists and engineers to innovate with speed while ensuring compliance, scalability, and reliability. As a Senior Software Engineer on the ML Platform team, you will help design and build the foundation for SoFi's ML ecosystem. You will develop services, frameworks, and tooling that support the entire ML lifecycle, from feature generation to training pipelines, batch and online inference, CI/CD integration, and monitoring. While the team focused on Fraud use cases, your work will have company-wide impact, enabling ML-driven capabilities across diverse product areas. If you are passionate about building high-scale platforms, thrive on technical challenges, and want to work at the intersection of ML, fraud prevention, and financial technology, we encourage you to apply. What you'll do: Design, build, and maintain scalable, reliable, and secure services that form the backbone of SoFi's ML Platform. Develop frameworks and tooling for feature generation, model training pipelines, batch and online inference, and real-time monitoring. Collaborate with Data Science, Risk, and Product teams to understand requirements and translate them into robust technical solutions. Participate in shaping the long-term technical architecture and platform vision for ML at SoFi. Drive operational excellence by ensuring services are observable, resilient, and cost-efficient. Contribute to and enforce engineering best practices including CI/CD, testing, and code quality. Mentor and support junior engineers, helping foster a culture of growth, innovation, and accountability. Proactively generate ideas for new capabilities and improvements to empower SoFi's ML practitioners. What you'll need: Bachelor's Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience. 4+ years programming experience, ideally on a modern tech stack. Experience building and maintaining distributed systems or microservices at scale. Strong understanding of data infrastructure and working with relational databases (e.g., PostgreSQL) and/or big data systems. Hands-on experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes). Familiarity with ML workflows, including model training, batch/online inference, or feature pipelines. Strong sense of ownership; ability to take a project from inception to production. Experience collaborating in agile teams with Git, code reviews, and CI/CD pipelines. Commitment to operational excellence, with experience in observability and monitoring (e.g., DataDog). Nice to have: Experience with ML frameworks and/or feature platforms (SageMaker, Flink, Spark, TensorFlow, PyTorch, etc.). Strong proficiency in Java and/or Kotlin. Experience scaling highly available, mission-critical systems. Familiarity with fraud detection, risk management, or financial services domains. Experience mentoring engineers and contributing to technical culture. Interest in personal finance and helping people achieve financial independence. Compensation And Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email . Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology Referrals increase your chances of interviewing at SoFi by 2x Get notified about new Senior Software Engineer jobs in San Francisco, CA. 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Get AI-powered advice on this job and more exclusive features. This range is provided by Fractal. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $115,000.00/yr - $185,000.00/yr Machine Learning Engineer Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal Intelligence for Imagination for more information about Fractal. Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability. If you are not local, we provide weekly travel or relocation. Role Overview: As an ML Engineer at Fractal Analytics, you will be at the forefront of building and deploying AI-driven solutions that address critical business challenges across industries. You'll work with cutting-edge AI platforms to develop both custom and pre-built enterprise applications, tackling key problems such as demand forecasting, asset reliability planning, and inventory optimization. Your role will focus on implementing scalable, production-ready machine learning solutions that seamlessly integrate into our clients' operations. You'll collaborate with cross-functional teams, optimize model performance, and ensure the reliability and efficiency of AI applications in real-world business environments. If you're passionate about transforming businesses with AI and thrive in a dynamic, impact-driven environment, we'd love to have you on our team. Responsibilities Include: Research, design, implement, and deploy Machine Learning algorithms for enterprise scale applications. Engage with clients to translate business needs into technical requirements and Machine Learning solutions. Contribute to the design and implementation of features for new and existing enterprise AI solution offerings. Provide ongoing support and monitoring for solutions running in production. Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. Qualifications: MS in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Excellent programming skills in Python Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Applied Machine Learning and AI experience in a professional setting. Broad knowledge on ecosystem of machine learning and AI algorithms, including tradeoffs to consider and when most appropriate to use. Demonstrated project expertise in supervised/unsupervised learning techniques, deep learning, time series, operations research, or Generative AI. Familiarity with ML model lifecycle including key considerations and relevant tools (MLFlow, AirFlow, Kubeflow, etc.) for supporting and governing models at scale. Familiarity with scalable AI technologies such as (MapReduce, Spark, streaming). Prior exposure to cloud computing services like AWS, Azure, or Google Cloud is advantageous (especially ML and AI toolkits). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionConsulting, Information Technology, and Engineering IndustriesIT Services and IT Consulting and Business Consulting and Services Referrals increase your chances of interviewing at Fractal by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles.Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA $167,300.00-$334,600.00 5 days ago San Francisco, CA $180,000.00-$240,000.00 6 days ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $140,000.00-$215,000.00 1 month ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$170,000.00 1 day ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago San Mateo, CA $163,700.00-$245,500.00 2 weeks ago Burlingame, CA $140,000.00-$180,000. hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago Redwood City, CA $167,200.00-$250,800.00 5 days ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 8 months ago San Mateo, CA $140,000.00-$210,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 3 days ago San Francisco, CA $175,000.00-$250,000.00 1 month ago Machine Learning Engineer, AI (FULLY REMOTE) San Francisco, CA $176,600.00-$225,900.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 1 month ago We're unlocking community knowledge in a new way. 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04/02/2026
Full time
Get AI-powered advice on this job and more exclusive features. This range is provided by Fractal. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $115,000.00/yr - $185,000.00/yr Machine Learning Engineer Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal Intelligence for Imagination for more information about Fractal. Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability. If you are not local, we provide weekly travel or relocation. Role Overview: As an ML Engineer at Fractal Analytics, you will be at the forefront of building and deploying AI-driven solutions that address critical business challenges across industries. You'll work with cutting-edge AI platforms to develop both custom and pre-built enterprise applications, tackling key problems such as demand forecasting, asset reliability planning, and inventory optimization. Your role will focus on implementing scalable, production-ready machine learning solutions that seamlessly integrate into our clients' operations. You'll collaborate with cross-functional teams, optimize model performance, and ensure the reliability and efficiency of AI applications in real-world business environments. If you're passionate about transforming businesses with AI and thrive in a dynamic, impact-driven environment, we'd love to have you on our team. Responsibilities Include: Research, design, implement, and deploy Machine Learning algorithms for enterprise scale applications. Engage with clients to translate business needs into technical requirements and Machine Learning solutions. Contribute to the design and implementation of features for new and existing enterprise AI solution offerings. Provide ongoing support and monitoring for solutions running in production. Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. Qualifications: MS in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Excellent programming skills in Python Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Applied Machine Learning and AI experience in a professional setting. Broad knowledge on ecosystem of machine learning and AI algorithms, including tradeoffs to consider and when most appropriate to use. Demonstrated project expertise in supervised/unsupervised learning techniques, deep learning, time series, operations research, or Generative AI. Familiarity with ML model lifecycle including key considerations and relevant tools (MLFlow, AirFlow, Kubeflow, etc.) for supporting and governing models at scale. Familiarity with scalable AI technologies such as (MapReduce, Spark, streaming). Prior exposure to cloud computing services like AWS, Azure, or Google Cloud is advantageous (especially ML and AI toolkits). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionConsulting, Information Technology, and Engineering IndustriesIT Services and IT Consulting and Business Consulting and Services Referrals increase your chances of interviewing at Fractal by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles.Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA $167,300.00-$334,600.00 5 days ago San Francisco, CA $180,000.00-$240,000.00 6 days ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $140,000.00-$215,000.00 1 month ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$170,000.00 1 day ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago San Mateo, CA $163,700.00-$245,500.00 2 weeks ago Burlingame, CA $140,000.00-$180,000. hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago Redwood City, CA $167,200.00-$250,800.00 5 days ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 8 months ago San Mateo, CA $140,000.00-$210,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 3 days ago San Francisco, CA $175,000.00-$250,000.00 1 month ago Machine Learning Engineer, AI (FULLY REMOTE) San Francisco, CA $176,600.00-$225,900.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 1 month ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Join to apply for the Sr Data Scientist role at Ulta Beauty Join to apply for the Sr Data Scientist role at Ulta Beauty Get AI-powered advice on this job and more exclusive features. Overview Live the Overview Live the experience . From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been defined as a "mature start-up." A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are. We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you'll find that virtually nothing's impossible at Ulta Beauty. COMPANY: Ulta Beauty Credit Services Corporation LOCATION: 1000 Remington Blvd., Suite 120, Bolingbrook, IL 60440 TITLE: Senior Data Scientist HOURS: Monday to Friday, 8:00 am to 5:00 pm DUTIES: Mentor a young and dynamic team of data scientists including conducting code reviews: Provide technical and professional guidance to more junior team members around software engineering best practices such as OoP and stakeholder interactions. Conduct code reviews for other projects, providing feedback and offering alternative approaches when needed. Design and map out ML solutions to business problems: conduct the project planning process and map out required tasks, including time and effort estimation. Determine the best approaches and risk areas for the project. Engage with business partners to hash out project needs: conduct the gathering of requirements and refine the use-case alongside internal stakeholders from business or IT orgs. Provide updates and troubleshooting as needed surrounding the technical aspects of the use-case. Advise on emerging areas of technology and AI: provide advisory services as needed to other business units regarding emerging technology trends in the AI space such as GenAI, reinforcement learning, etc. Help the enterprise avoid pitfalls in the technology and provide them with formal or informal technical assessments. Implement ML solutions to business problems: Execute the software development for the project such that business requirements are addressed and a solution is provided. Provide guidance on data science best practices: leverage industry best practices, conferences, external knowledge to educate the team and broader enterprise on best practices observed. REQUIREMENTS: Master's degree in Computer Science, Mathematics, Physics, Statistics or other quantitative field. One (1) year in any occupation with NLP, Machine Learning, or Data Science experience. One (1) year in any occupation with NLP, Machine Learning, or Data Science experience must include: OoP languages including Python and coding paradigms; Frameworks: Scikit Learn, TensorFlow or Pytorch, Numpy, Pandas, and SciPy; Cloud computing platforms such as Google Cloud, Azure or AWS; Experience building ML solutions from existing libraries; Recommendation systems; Clustering problems; Supervised-, weakly-supervised-, and un-supervised learning; Statistical analyses of model results; Deep Learning; Relational databases including Postgres, Bigquery and MySQL; Document databases including MongoDB; and low-latency databases including BigTable. TELECOMMUTING EMPLOYEE: Reports to company headquarters in Bolingbrook, IL. Can work remotely or telecommute up to 100%. SALARY : $165,984 - $166,984 per year APPLY: Job ID 92 The pay range for this position is $165,984.00 - $166,984.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: About At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful . Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services. We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesConsumer Services, Personal Care Product Manufacturing, and Retail Referrals increase your chances of interviewing at Ulta Beauty by 2x Sign in to set job alerts for "Senior Data Scientist" roles. Mountain View, CA $110,000.00-$160,000.00 1 month ago San Jose, CA $123,500.00-$212,850.00 2 weeks ago Data Science Manager, Subscription Revenue Menlo Park, CA $253,000.00-$314,000.00 2 weeks ago Sunnyvale, CA $169,000.00-$338,000.00 1 week ago Data Science Director Relocate to Dubai Experimentation Menlo Park, CA $314,000.00-$361,000.00 2 weeks ago San Francisco Bay Area $225,000.00-$275,000.00 3 weeks ago Senior Manager, Data Science - Meraki - REMOTE San Jose, CA $210,600.00-$305,100.00 3 days ago San Francisco Bay Area $210,000.00-$260,000.00 2 weeks ago San Francisco Bay Area $250,000.00-$300,000.00 2 weeks ago San Francisco Bay Area $240,000.00-$280,000.00 3 weeks ago Senior Director, Commercial Data Science San Francisco Bay Area $250,000.00-$280,000.00 2 weeks ago San Jose, CA $375,666.00-$450,799.00 2 weeks ago Director, Data Science - Agent-Led Engagement in Conversational Commerce Sunnyvale, CA $169,000.00-$338,000.00 1 week ago Senior Manager, Infrastructure Data Science San Jose, CA $113,100.00-$232,300.00 1 day ago Research Scientist Graduate, Quantum Chemistry and Machine Learning - 2026 Start (PhD) San Jose, CA $136,800.00-$259,200.00 1 day ago Director, Data Science - Quality & LLM Judging Systems for Conversational Commerce Sunnyvale, CA $169,000.00-$338,000.00 1 week ago Senior Data Analyst - Operations & Supply Chain San Jose, CA $89,300.00-$146,900.00 2 days ago Director of Finance and Administration, Biomedical Data Science Stanford, CA $205,050.00-$283,688.00 1 day ago Director of Finance and Administration, Biomedical Data Science Stanford, CA $205,050.00-$283,688.00 9 months ago Data Scientist, Analytics - Safety Response San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago Sunnyvale, CA $170,000.00-$277,000.00 3 days ago Senior Staff Data Scientist, Trust and Anti-Abuse Mountain View, CA $168,000.00-$276,000.00 1 week ago Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Senior Data Scientist, ML - Recommendations Palo Alto, CA $200,000.00-$250,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Join to apply for the Sr Data Scientist role at Ulta Beauty Join to apply for the Sr Data Scientist role at Ulta Beauty Get AI-powered advice on this job and more exclusive features. Overview Live the Overview Live the experience . From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been defined as a "mature start-up." A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are. We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you'll find that virtually nothing's impossible at Ulta Beauty. COMPANY: Ulta Beauty Credit Services Corporation LOCATION: 1000 Remington Blvd., Suite 120, Bolingbrook, IL 60440 TITLE: Senior Data Scientist HOURS: Monday to Friday, 8:00 am to 5:00 pm DUTIES: Mentor a young and dynamic team of data scientists including conducting code reviews: Provide technical and professional guidance to more junior team members around software engineering best practices such as OoP and stakeholder interactions. Conduct code reviews for other projects, providing feedback and offering alternative approaches when needed. Design and map out ML solutions to business problems: conduct the project planning process and map out required tasks, including time and effort estimation. Determine the best approaches and risk areas for the project. Engage with business partners to hash out project needs: conduct the gathering of requirements and refine the use-case alongside internal stakeholders from business or IT orgs. Provide updates and troubleshooting as needed surrounding the technical aspects of the use-case. Advise on emerging areas of technology and AI: provide advisory services as needed to other business units regarding emerging technology trends in the AI space such as GenAI, reinforcement learning, etc. Help the enterprise avoid pitfalls in the technology and provide them with formal or informal technical assessments. Implement ML solutions to business problems: Execute the software development for the project such that business requirements are addressed and a solution is provided. Provide guidance on data science best practices: leverage industry best practices, conferences, external knowledge to educate the team and broader enterprise on best practices observed. REQUIREMENTS: Master's degree in Computer Science, Mathematics, Physics, Statistics or other quantitative field. One (1) year in any occupation with NLP, Machine Learning, or Data Science experience. One (1) year in any occupation with NLP, Machine Learning, or Data Science experience must include: OoP languages including Python and coding paradigms; Frameworks: Scikit Learn, TensorFlow or Pytorch, Numpy, Pandas, and SciPy; Cloud computing platforms such as Google Cloud, Azure or AWS; Experience building ML solutions from existing libraries; Recommendation systems; Clustering problems; Supervised-, weakly-supervised-, and un-supervised learning; Statistical analyses of model results; Deep Learning; Relational databases including Postgres, Bigquery and MySQL; Document databases including MongoDB; and low-latency databases including BigTable. TELECOMMUTING EMPLOYEE: Reports to company headquarters in Bolingbrook, IL. Can work remotely or telecommute up to 100%. SALARY : $165,984 - $166,984 per year APPLY: Job ID 92 The pay range for this position is $165,984.00 - $166,984.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: About At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful . Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services. We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesConsumer Services, Personal Care Product Manufacturing, and Retail Referrals increase your chances of interviewing at Ulta Beauty by 2x Sign in to set job alerts for "Senior Data Scientist" roles. 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About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
04/02/2026
Full time
About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
04/02/2026
Full time
About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
04/02/2026
Full time
About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
04/02/2026
Full time
About the Role Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large scale systems that optimize multi side real time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. What You Will Do Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform level architecture decisions, executive communication and alignment, technical mentorship, and cross team technical influence Lead the design, development, and productionization of end to end ML solutions for large scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Work with a team of engineers, product managers, and scientists to design and deliver high impact technical solutions to complex business problems Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 6+ years experience leading the development and deployment of ML models and optimization algorithms in large scale production environments at top tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large scale data systems (e.g. Spark, Ray), real time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi side real time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi task models, transformers) and mathematical optimization (e.g. multi objective, LP, convex optimization) Preferred Qualifications Experience developing multi year technical strategies and cross team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross functional teams Proficiency in reinforcement learning and causal machine learning For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green light hubs, employees are expected to be in office for 100% of their time. Please speak with your recruiter to better understand in office expectations for this role.
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
04/01/2026
Full time
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: