42 jobs found

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

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:

Job Title: Data Engineer III Location: (City, State) Duration: Contract - 14 months Pay Range: $67/hr $73/hr (W2) Job ID: 406749 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Data Engineer III to join our dynamic team. The ideal candidate will have strong experience in designing and building scalable data management systems, data mining, and algorithm development and a proven ability to deliver reliable data platforms, predictive models, and integrations that meet business requirements. Responsibilities: Design, construct, install, test, and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure systems align with business requirements and industry practices. Integrate new data management and software engineering technologies into existing data structures. Develop processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data and data acquisition. Employ diverse languages and tools to connect and integrate systems. Collaborate with data architects, IT, and data scientists to meet project goals. Install and update disaster recovery procedures. Recommend improvements to enhance data reliability and quality. Required Skills & Qualifications: Technical degree or related work experience. Experience with relational and non-relational databases such as SQL, MySQL, NoSQL, Hadoop, and MongoDB. Experience programming and architecting back-end solutions in languages such as Java or J2EE. Knowledge of data mining practices, algorithms, and applied data usage. Preferred Skills: Experience building predictive models and prototypes in production environments. Familiarity with disaster recovery planning and implementation. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges. JOB DUTIES - ESSENTIAL FUNCTIONS The Software Systems Engineer is a senior-level engineering position that will provide technical oversight and expertise on high level design and development of software, hardware and firmware systems. This includes overseeing projects from conception to completion, ensuring quality control and industry standards are enforced across all projects, while providing peer reviews and technical guidance as needed. An ideal Senior Software System Engineering candidate will be able to demonstrate the following: Deep understanding of Agile development projects with extensive experience in various programming languages (e.g. Python, C#, C++, Linux, Java), network architectures (e.g. TCP/IP, UDP), databases (e.g. SQL/NoSQL) and have a strong knowledge of operating systems, cloud platforms, and artificial intelligence. Familiarity with telemetry standards (e.g. IRIG 106), open-source software frameworks (e.g. Open MCT), aircraft and ground instrumentation systems, real-time data processing and cybersecurity. Communication excellence: Ability to communicate both verbally and in writing to effectively convey complex technical information to diverse audiences including vendors, subcontractors, customers, engineering teams, non-technical stakeholders and JT4 leadership. The Senior Software System Engineer will be responsible for the following functions: Technical Expertise: Evaluate current development designs and approaches to ensure technical specifications and requirements are being met. Ensure all development projects adhere to industry, quality, and security standards. Provide innovative and cost-effective engineering methodologies and practices to various development teams. Engineering Exchange: Facilitate and lead collaborative discussions with the customer and technical staff to include JT4 Technical exchanges and working groups. Participate in relevant engineering conferences such as ITEA and ITC. Coordinate, implement and oversee cross utilization of various technical expertise across the JT4 Enterprise. Act as a subject management expert resource on complex software and hardware development Project Management: Assist IPT project manager on overseeing multiple development projects simultaneously with duties including but not limited to: identifying potential risks, evaluating timelines and resources and ensuring all technical requirements are met. Team Leadership: Provide technical mentorship, training and guidance to technical staff and assist in resolving engineering challenges. Develop and apply advanced methods, theories, and research techniques in the investigation and solution of complex system design projects. Procurement: Support procurement activities for various projects as needed to include drafting of statements of work, vendor evaluations, as well as subcontract development and monitoring. Reporting and Analysis: Monitor key performance indicators and metrics and generate monthly performance reports that identify high performance as well as any areas needing improvement. Prepare and deliver technical engineering study-based papers. Innovation and Development: Stay up to date on emerging technologies and identify opportunities to incorporate new advancements into projects. Perform other job-related duties, as required. REQUIREMENTS - EDUCATION, TECHNICAL, AND WORK EXPERIENCE One of the following education requirements must be met for this position: A bachelor's degree in an associated discipline and a minimum of 14 years of related experience A master's degree in an associated discipline and a minimum of 10 years of experience A PhD in an associated discipline and a minimum of eight (8) years of experience In addition, a Computer Scientist V must possess the following qualifications: Demonstrated expertise with computer-based systems and applications Senior-level programing skills in languages used for job-specific programming tasks Senior-level expertise in the application of industry standard hardware and software design and documentation techniques Extensive knowledge of systems engineering and software development lifecycles Excellent verbal and written communication skills Excellent planning/organizational skills Ability to work under deadlines Must possess a valid, state issued driver's license Must be able to obtain and maintain security clearance Must be a U.S. citizen SALARY The expected salary range for this position is $140,000 to $190,000 annually. Note: The salary range offered for this position is a good faith description of the expected salary range this role will pay. JT4, LLC considers factors such as (but not limited to) responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer. BENEFITS Medical, Dental, Vision Insurance Benefits Active on Day 1 Life Insurance Health Savings Accounts/FSA's Disability Insurance Paid Time Off 401(k) Plan Options with Employer Match JT4 will match 50%, up to an 8% contribution 100% Immediate Vesting Tuition Reimbursement OTHER RESPONSIBILITIES Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. WORKING CONDITIONS Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. Travel to remote company work locations may be required. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified. Tasking is in support of a Federal Government Contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses/certifications, and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment. SCC: JSD12, A1412TW

The DCS Air & Space Technology (AST) Sector is seeking an AFSIM Modeling Specialist for an exciting opportunity in support of the Air Force Research Laboratory (AFRL). In this role, you will help deliver technical expertise, with a focus on Modeling, Simulation & Analysis. You will collaborate closely with other DCS computer scientists and data analysts to support the customer's digital engineering initiatives to advance digital engineering initiatives and transition critical capabilities to Air Force programs. We are seeking individuals that are driven and ready to grow with our company. DCS recognizes that its employees are the critical component in providing renowned solutions in the U.S. Defense, Aerospace, Human Factors, and Security markets. As an employee-owned company, professionals across all levels are valued and provided with the resources to make an immediate impact. At DCS, you will have the opportunity to collaborate with colleagues across multiple departments to support world-class research and development, while benefiting from training and mentorship to guide your career growth. Join DCS and contribute to innovative solutions that shape the future of critical technologies. Essential Job Functions: Team-Oriented Collaboration: Work effectively with multi-disciplinary teams of software developers, engineers, and data analysts to support complex analytical research and Operator-in-the-Loop studies. AFSIM Architecture & Integration: Support the development and integration of AFSIM components, including custom plugins, system models, autonomy/AI capabilities, and operational concepts within real-time simulation environments. Assist with incorporating high-fidelity platform models and external model sources as needed. System Modeling: Design and model complex heterogeneous systems, including Aircraft Systems, Missile Systems, Radars, Jamming (Electronic Warfare), and Communications. DevSecOps & Digital Engineering: Implement GitLab CI/CD pipelining featuring automated testing, automated documentation, and security scanning. Drive cloud-based development and application integration into cloud platforms. Optimization & Testing: Utilize system-based optimization techniques to maximize performance in real-time simulations. Lead testing and evaluation of simulation environments, including automated testing for Model-Based Systems Engineering (MBSE) projects. Agile Framework: Participate in Agile ceremonies, sprint planning, backlog grooming, and triage. Required Skills: Due to the sensitivity of customer related requirements, US citizenship is required. Must have an active Secret level US DOD security clearance. Must have a bachelor's degree in a technical field (Computer Science, Engineering, Mathematics, or Similar) with 5 years of experience. Understanding of software development processes (Agile, DevSecOps, CI/CD) with experience developing software using Object Oriented Programing practices. Experience modeling data structures, flows, and integrations across heterogeneous systems. 3+ years of AFSIM experience focused on mission-level modeling and scenario analysis. Understanding of military platforms, tactics, techniques, and procedures (TTPs), CONOPS, and mission-level concepts (air combat, ISR, electronic warfare, or electromagnetic spectrum operations highly desirable). Experience with Agile Methodology particularly utilizing the Scrum framework. Experience with Git-based version control, including branch management and merge request workflows in GitLab. Must be curious to explore new problems and develop creative solutions. Strong communication skills, both written and verbal. Must work onsite at customer facility. Remote work is not available. Desired Skills: Active Top Secret security clearance with SCI eligibility Masters degree in a technical field (Computer Science, Engineering, Mathematics, or Similar) Experience in MBSE Experience with SysML diagramming tools

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. For this role, we are looking for someone proficient in SAS, R, and Python. As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office. DEPARTMENT: Statistics and Data Science The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC's research. The department collaborates with the departments throughout NORC, as well as leading its own projects. RESPONSIBILITIES: Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities. Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries. Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations. Perform various types of data analysis and modeling, often involving multiple data sets. Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics. Apply AI tools to help improve efficiency. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in one of the following fields: statistics, math, data science, computer science, or computational social science or related field required. Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization. At least 2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming, and data mining Strong foundation in areas of statistics, mathematics, and data science. Coding skills in SAS, R, and Python required. Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred. Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred. Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs. Outstanding interpersonal and critical reasoning skills. Proficiency with MS Office software. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $72,000 - $88,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

The DCS Air & Space Technology (AST) Sector is seeking an Operations Research Analyst for an exciting opportunity in support of the Air Force Research Laboratory (AFRL). In this role, you will help deliver technical expertise, with a focus on Modeling, Simulation & Analysis. You will collaborate closely with other DCS computer scientists and data analysts to support the customer's digital engineering initiatives. This position offers a chance for your curiosity and creativity to shine as you engineer unique solutions for a diverse problem set. We are seeking individuals that are driven and ready to grow with our company. DCS recognizes that its employees are the critical component in providing renowned solutions in the U.S. Defense, Aerospace, Human Factors, and Security markets. As an employee-owned company, professionals across all levels are valued and provided with the resources to make an immediate impact. At DCS, you will have the opportunity to collaborate with colleagues across multiple departments to support world-class research and development, while benefiting from training and mentorship to guide your career growth. Join DCS and contribute to innovative solutions that shape the future of critical technologies. Essential Job Functions: Team Leadership & Mentorship: Lead multi-disciplinary teams of software developers, engineers, and data analysts in conducting complex analytical research and Operator-in-the-Loop studies. Provide direct mentorship to junior engineers in MS&A and modeling methodologies. System Modeling: Design and model complex heterogeneous systems, including Aircraft Systems, Missile Systems, Radars, Jamming (Electronic Warfare), and Communications. Advanced Analytics: Apply advanced analytic principles to large datasets to gain insights into challenging research and engineering questions related to future technologies. Agile Framework: Direct and participate in Agile ceremonies, sprint planning, backlog grooming, and triage. Required Skills: Due to the sensitivity of customer related requirements, US citizenship is required. Must have an active Secret security clearance with the ability to maintain. Must have a Bachelors degree in a technical field (Computer Science, Engineering, Mathematics, Analytics or Similar) 8-10 years of professional experience in modeling, simulation and analysis or operations research analysis. Experience using a scripting language (Python, R, or similar). Experience in applying advanced statistical and analytic methodologies to assess challenging research problems. Experience with applying scientific methodologies to design experiments that answer specific research and analytic questions. Experience developing presentations and communicating results to senior leaders Must be curious to explore new problems and develop creative solutions. Strong communication skills, both written and verbal. Must work onsite at customer facility. Remote work is not available. Desired Skills: Active Top Secret security clearance with SCI eligibility. Master's degree in a technical field (Computer Science, Engineering, Mathematics, Analytics or Similar). Experience with Agile software development methodologies, specifically utilizing the Scrum Framework. Experience developing machine learning models and employing them in a research setting. Experience utilizing or developing AFSIM focused on mission-level modeling and scenario analysis.

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary The Senior Robotics Automation Engineer is a highly experienced technical leader responsible for advancing the design, integration, optimization, and long-term operational strategy of robotic and automated laboratory systems within the Smart Research Laboratory. This role requires deep expertise in laboratory automation, engineering principles, scientific workflows, and biopharma research operations, combined with the ability to influence technical direction, guide cross-functional decision-making, and mentor less experienced engineers and scientists. This individual will play a critical role in shaping automation strategy, evaluating emerging technologies, translating scientific needs into scalable automation solutions, and ensuring that robotic systems deliver reliable, precise, and high-quality performance in support of advanced drug discovery and research innovation. In addition to hands-on technical execution, the Senior Robotics Automation Engineer will provide strategic guidance on system architecture, workflow design, vendor selection, platform sustainability, risk mitigation, and continuous improvement of automated laboratory capabilities. The role requires regular on-site presence due to the highly integrated, hands-on nature of laboratory robotics, instrumentation, scientific equipment, and automation workcell operations. Job Description Responsibilities Lead the design, implementation, testing, optimization, and lifecycle management of complex robotic and automated laboratory workcells, including integrated hardware, software, instrumentation, scheduling, and control systems. Serve as a senior technical authority for laboratory automation platforms, providing expert guidance on system architecture, workflow design, equipment selection, integration strategy, operational scalability, and long-term platform reliability. Partner with scientific, engineering, informatics, facilities, IT, and operational stakeholders to translate complex research needs into robust, scalable, and sustainable automated solutions that improve laboratory productivity, data quality, reproducibility, and research throughput. Evaluate, integrate, configure, troubleshoot, and maintain advanced laboratory automation systems, including liquid handlers, dispensers, pipettors, plate movers, robotic arms, plate sealers and desealers, acoustic transfer devices, multimodal assay readers, incubators, storage systems, and related scientific instrumentation. Develop, review, and optimize automation methods using orchestration and instrument-control platforms such as Momentum, Venus, InstinctS, and related automation APIs, ensuring methods are reliable, maintainable, validated, and aligned with scientific requirements. Provide senior-level oversight for method development, hardware integration testing, system validation, risk assessment, troubleshooting, and performance optimization across automated laboratory workflows. Lead or significantly contribute to automation roadmap planning, technology assessments, vendor evaluations, equipment acquisition decisions, and strategic recommendations that shape the future capabilities of the Smart Research Laboratory. Collaborate with external vendors and internal stakeholders to implement advanced robotics capabilities, including motion planning, multi-axis actuation, control systems, autonomous mobile robotics, device communication, and integration of novel automation technologies. Guide the validation, deployment, and continuous improvement of Autonomous Mobile Robot systems and other emerging automation platforms, ensuring safe, reliable, and effective operation within a research laboratory environment. Mentor junior automation engineers, scientists, and cross-functional users by providing technical coaching, training, design review, troubleshooting support, and best-practice guidance for automated workflows and robotic systems. Establish and maintain high-quality technical documentation, including system designs, integration plans, validation records, risk assessments, maintenance procedures, troubleshooting guides, and workflow specifications. Lead complex problem-solving efforts in a fast-paced research environment, balancing immediate operational needs with long-term platform strategy, system sustainability, safety, and scientific impact. Drive continuous improvement initiatives that increase automation reliability, reduce operational bottlenecks, improve assay execution quality, and expand the organization's ability to adopt advanced automated research capabilities. Qualifications Education Qualifications Bachelor's Degree in science, engineering, robotics, automation, computer science, life sciences or a related field required Advanced degree (M.S. or Ph.D.) is preferred Experience Qualifications Requires 5-7 years of hands-on experience designing, integrating, programming, validating, maintaining, and optimizing automated laboratory equipment, robotic systems, or complex scientific instrumentation in a research or biopharma environment Prior experience in biopharma, pharmaceutical, biotechnology, drug discovery, translational research, or advanced laboratory automation environment is required Demonstrated ability to lead technically complex automation projects from concept through implementation, including requirements gathering, design evaluation, vendor coordination, installation, integration, testing, validation, documentation, user training, and operational handoff. Advanced experience with laboratory automation platforms and orchestration software such as Hamilton Venus, Thermo Scientific Momentum, InstinctS, or comparable automation-control environments. Strong working knowledge of laboratory robotics, instrument communication, scheduling systems, device APIs, mechanical and electrical integration, liquid handling principles, assay workflow automation, and system-level troubleshooting. Experience developing or supporting software tools, scripts, APIs, or applications using modern programming languages such as Python, Java, C#, or comparable languages to improve automation performance, data handling, system monitoring, or workflow control. Proven ability to partner with scientific teams to identify high-value automation opportunities, evaluate technical feasibility, define requirements, and deliver solutions that support research quality, throughput, reproducibility, and innovation. Experience influencing technical decisions, guiding platform strategy, mentoring colleagues, and providing senior-level recommendations to scientific, operational, and leadership stakeholders. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. 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. Salary Range: USD$136,080.00 - USD$204,120.00 Download Our Benefits Summary PDF

Position Title: Staff Data Scientist Description: 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: Requirements PI

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives. The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments. The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems. Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Methodology and Quantitative Social Sciences The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects. RESPONSIBILITIES: Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives. Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks. Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas. Develop prompt engineering strategies and evaluation frameworks for generative AI systems. Implement model monitoring, testing, validation, and performance optimization processes. Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis. Support experimentation with AI agents, tool calling, and workflow automation. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis. At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered). Advanced proficiency in Python. Strong experience with SQL and relational databases. Experience developing software, data pipelines, or analytical applications. Experience conducting statistical analysis and machine learning using real-world datasets. Knowledge of supervised and unsupervised machine learning methods. Experience working with Git and collaborative development workflows. Strong problem-solving and analytical skills. Excellent communication and technical writing skills. Ability to explain technical concepts to diverse audiences. Preferred Skills: Familiarity with AI agents and workflow orchestration frameworks. Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash). Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $90,000-$100,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Overview TeleWorld Solutions is seeking a Data Analyst/Data Scientist AI/ML Engineer to join our team! As a Data Analyst/Data Scientist AI/ML Engineer , you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers. TeleWorld Solutions is a strategic wireless engineering and consulting firm offering network operators, OEMs and tower companies' turnkey design, optimization, network dimensioning, and deployment services. With the experience of hundreds of thousands of successful implementations, including macro, DAS, Small Cells, and Wi-Fi, the world's leading network operators and OEMs trust our knowledge and experience to plan, perform, troubleshoot, and implement an array of technologies and solutions. TeleWorld helps customers plan, design, manage, measure, and monetize opportunities throughout the network lifecycle and across every element of their network. Come join our Veteran-Friendly Team. The Company with Great Benefits and certified as "A Great Place to Work". Responsibilities • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods.• 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment.• Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring.• Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful.• Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation.• Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions.• Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.• Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts.• Communicate key findings to stakeholders using visualizations and/or other suitable methods.• Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression.• Able to compile analysis output and findings into a succinct story for technical and non-technical audiences.• Adapt to changes in a dynamic business environment and, support management initiatives. Qualifications • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred.• Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc.• Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake• Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling.• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc).• Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.• Experience with MLOPS concepts and environments such as MLFLOW a plus.• Experience with basic linux administration and software development in a linux environment.• Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus• Must possess qualities of being curious and eagerness to learn .• Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices.• Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired.• Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus.• Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus.• Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired.• Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Join Our Veteran-Friendly Team: Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team. TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

W2 job to a staffing company Top skills: -Data Modeling -Machine Learning -Artificial Intelligence Schedule: Fully onsite KEY RESPONSIBILITES/REQUIREMENTS: As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers Specific Responsibilities include: • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods. • 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment. • Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring. • Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful. • Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation. • Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions. • Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products. • Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts. • Communicate key findings to stakeholders using visualizations and/or other suitable methods. • Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression. • Able to compile analysis output and findings into a succinct story for technical and non-technical audiences. • Adapt to changes in a dynamic business environment and, support management initiatives. Background & Competencies Required: • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. • Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc. • Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake • Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling. • Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc). • Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing. • Experience with MLOPS concepts and environments such as MLFLOW a plus. • Experience with basic linux administration and software development in a linux environment. • Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus • Must possess qualities of being curious and eagerness to learn . • Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices. • Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired. • Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus. • Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus. • Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired. • Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment: • Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company. • Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment • Frequently works additional hours beyond normal schedule. • Performs work under time schedules and stresses which are normally periodic or cyclical and include time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and project management stress. • Machines, tools, equipment, and work aids include PC's, printers, etc. most often associated with office work area equipment.

JOB SUMMARY: The Health Care Evaluation Research Department at NORC seeks a Senior Data Scientist II. In this role, the Senior Data Scientist II will lead analytic work using large administrative and claims-based data to support the implementation, evaluation, and ongoing monitoring of CMS Innovation Center (CMMI) models, Medicare and Medicaid programs, and related payment and delivery system reforms. The position emphasizes technical leadership, analytic execution, and deep familiarity with CMS data systems, and includes mentoring data analysts and data scientists while collaborating closely with other project leaders, policy researchers, economists, and methodologists. At NORC, you will work alongside nationally recognized experts supporting some of the most significant health care reforms in the country. This role offers the opportunity to apply deep technical expertise to CMS Innovation Center models and Medicaid initiatives, lead analytic contributions to new business efforts, manage complex workstreams, and mentor others within a mission-driven, nonpartisan research organization. The Data Science job family exists across multiple departments at NORC and provides advanced analytical expertise for a portfolio of research and evaluation projects. The Senior Data Scientist II (SDS II) plays a strategic, hands-on role in delivering high-quality analytics for complex health care initiatives by leading large-scale data efforts, providing technical leadership to multidisciplinary teams, establishing resources and best practices for health care data work across NORC, and taking leadership on relevant business development initiatives. Work Location NORC supports hybrid work arrangements for this position in either our Washington, DC or Chicago, IL offices. Remote work status may be considered for outstanding candidates. Occasional travel may be required based on project needs and client meetings. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Health Care Evaluation Research NORC's Health Care Evaluation Research department conducts advanced analytics and evaluations for Medicare, Medicaid, and commercial insurance programs. NORC's health work supports the implementation, monitoring, and evaluation of health care payment and delivery reforms, with a particular emphasis on CMS Innovation Center (CMMI) models, state Medicaid demonstrations, and other federal health projects across Health and Human Services, states, and foundations. RESPONSIBILITIES: Lead advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. Lead projects and manage major project workstreams including but not limited to advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. Apply claims-based and administrative data to assess program operations, utilization, quality, access, and cost across Medicare, Medicaid, and commercial populations. Lead analyses using Medicaid T-MSIS (including TAF), state Medicaid claims and encounter data, Medicare fee-for-service claims, Medicare Advantage encounter data, and Medicare Part D prescription drug data. Access and analyze data in CMS secure data environments, including CCW/VRDC and, as appropriate, Model Space, IDR, and other CMS data platforms. Lead data acquisition, ingestion, cleaning, transformation, linkage, and harmonization for large and complex health care datasets. Develop and implement quality assurance protocols, documentation standards, and reproducible analytic workflows. Serve as a technical lead and mentor to data analysts and data scientists. Lead or co-lead analytic and data-focused components of business development efforts, including proposal writing and capture discussions. REQUIRED SKILLS: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Public Health, or a related field. At least 9 years of relevant experience (or 12 years with a Bachelor's degree) in positions of increasing responsibility involving large-scale data analysis and statistical modeling. Demonstrated experience leading project teams or teams conducting substantial work streams on larger projects. Demonstrated experience working with Medicare and/or Medicaid administrative or claims data. Experience accessing and analyzing CMS data through the Chronic Conditions Warehouse (CCW) / Virtual Research Data Center (VRDC). Demonstrated ability to lead complex analytic work, mentor technical staff, and communicate results to technical and non-technical audiences. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Strongly Preferred Qualifications: Master's degree or higher in a relevant field. Experience supporting CMS Innovation Center (CMMI) model implementation, monitoring, or evaluation. Experience working with CMS data environments, including Model Space and the Integrated Data Repository (IDR). Hands-on experience with T-MSIS/TAF, state Medicaid claims and encounter data, Medicare Advantage encounter data, and Medicare Part D prescription drug data. Proficiency with SAS, SQL, R, and/or Python, and experience working in modern data warehouse or data lake environments. Experience leading or contributing to technical proposal writing for federal health care analytics or evaluation work. SALARY AND BENEFITS: The pay range for this position is $160,000 - $190,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. This role is bonus eligible. Bonus payment is contingent upon program terms and individual performance. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and organizational priorities. Job Mission Join a pioneering research organization developing next-generation lithography light source technologies. Our laser-produced plasma (LPP) system combine high-power lasers, advanced optics, plasma-based EUV generation, sensing, controls, and physics-based modeling to address some of the most complex challenges in semiconductor manufacturing. As Source Research continues to expand its use of data-driven engineering, machine learning, simulation and physics-based modeling, a scalable and well-governed data ecosystem has become essential. High-quality, accessible, and connected data enables faster technology development, deeper system understanding, more effective trade studies, and better-informed technology and roadmap decisions. In this role, you will help shape the data foundation that supports research and development activities across Source Research. Working closely with lab owners and experimental, modeling, and ML scientists, you will build and improve data pipelines, integrate diverse data sources, and enable reliable access to research data at scale. You will also help establish practical architecture standards and best practices that ensure our data platform remains scalable, secure, maintainable, and aligned with the broader data landscape. his role combines hands-on development with technical leadership in shaping the data foundation for Source Research. You will build, operate, and continuously improve data pipelines, integrating new data sources, improving reliability, and enabling scientists and engineers to use high-quality data at scale. You will also define practical architecture standards that keep the platform consistent, secure, future-ready, and aligned with clients data landscape. Work independently and collaboratively to deliver on objectives, whether exploring new data sources, building new capabilities, or characterizing existing system performance. Be willing to work extended hours and second shift as needed. Perform other duties as assigned or required Qualifications • Bachelor's or Master's degree in Computer Science, Statistics, Math, Data Science, or a related field. • 10+ years of relevant experience in data engineering, data architecture, or scientific/engineering data platforms. • Strong hands-on development experience in Python and modern data engineering tooling. • Proven experience building and operating scalable big data pipelines, analytics platforms, and data products that support data-intensive scientific and engineering workflows. • Experience with cloud and distributed data platforms such as Azure, Azure Databricks, Apache Spark, Kubernetes, and data lake architectures. • Solid understanding of data modeling, metadata management, data lineage, data quality, governance, security and access control. • Experience supporting scientific or engineering workflows (for example simulation, HPC, instrumentation, or time-series sensor data). • Familiarity with AI/ML workflows and MLOps practices is a plus. • Strong communication and collaboration skills, with the ability to translate technical details into clear and actionable guidance.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Media Engineering builds the software and systems that prepare media content and metadata for the Disney Streaming platform - providing the best possible playback experience to our viewers. Media Engineering handles audio, video, and metadata content from ingest through publish - for normalization, processing, and packaging - supporting operator tools and automation for a scalable workflow. We build logic across players and back-end services to measure, control, and optimize playback across our stack. Our team is seeking a Senior Software Engineer to help us deliver excellent streaming experiences for Hulu, Disney+ and ESPN+ as a developer of our web-based JavaScript player. Our team is responsible for playback across many devices including browsers, televisions, gaming consoles, and set-top boxes. You will have the opportunity to lead in the design and implementation of our cross-platform JavaScript player that runs Disney+, Hulu and ESPN on these devices. We're looking for an experienced engineer who has video player and cross platform development experience. Excellent fluency in JavaScript and web development is required. You should have a passion for coding and debugging hard problems, and an eagerness to help us deliver seamless video to our subscribers. Being a Senior engineer, you will get to own large features, lead the technical direction of our work, and mentor and provide technical expertise to other engineers. You will work closely with other technical teams in the application layer and backend video services to deliver features. Responsibilities Develop and maintain our JavaScript player that drives our streaming experience Optimize our player to perform well for resource constrained platforms Create and review architecture and technical designs Maintain a strong understanding of our code to identify, research and address issues Collaborate with application development teams, services engineering teams and product management to help understand and explain device limitations and requirements Lead in strategies to ensure the quality and stability of our deployments, including testing strategies and telemetry approaches Develop our project's build system and continuous integration system as needed Provide technical expertise or mentoring to developers on our team Drive high development standards Basic Qualifications 5+ years of full software development lifecycle experience Highly fluent in JavaScript and web technologies Experience developing for web browsers & other web-based client devices Experience in Streaming technologies, such as: HLS (preferred) or DASH DRM technologies like PlayReady or Widevine Adaptive Bitrate Streaming Algorithms Caption and subtitle formats such as CEA-608 / 708 Codecs AVC, HEVC, AAC, EAC3 Experience developing and optimizing high-performance client-side media applications Experience using build runners / compilation tools for multi-platform projects Strong individual contributor with a drive to learn and patience to teach others Great communication and collaboration skills and a strong teamwork ethic Experience using AI-assisted development tools effectively BS or BA in Computer Science, Engineering, or related field or equivalent experience Preferred Qualifications Experience developing for living room devices, e.g. Samsung, LG, Hisense, Vizio. Experience developing for gaming consoles (e.g. Playstation, Switch), Android devices (e.g.FireTV), or similar devices The hiring range for this position in Seattle, WA is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About the Role & Team: Walt Disney Imagineering makes the impossible possible, by combining innovation and storytelling to bring Disney stories, characters, and worlds to life. Imagineering is the master planning, creative development, design, engineering, production, project management, and research and development arm of The Walt Disney Company. Its talented Imagineers are responsible for the creation - from concept initiation through installation - of all Disney Resorts, theme parks and attractions, real estate developments, regional entertainment venues, and new media projects. Disney Imagineers are uniquely talented individuals who bring together the best aspects of creativity, innovation, and passion. At Imagineering Research and Development, our mission is to use technology to build new experiences for our Guests and new tools for Imagineers and the Cast Members who power our parks. R&D is a team of engineers, designers, artists, and scientists who share a passion for solving hard problems and building ground-breaking experiences. As the Estimating and Scope Management Tech Lead, you are the senior individual contributor and technical anchor for these capabilities. You set the technical direction, drive execution alongside our partner teams, and elevate the engineers around you. You think in user problems first: the Imagineers using these tools are the people across the table, not tickets in a backlog. This role reports to the Manager, Software Development and partners closely with product managers, project managers, and business stakeholders. This role will report directly to the Sr. Manager of Software Development. This is a Full-Time role. What You Will Do • Own the technical direction - architecture, design choices, and integration strategy. • Lead delivery end-to-end - find the real problem underneath the stated one, prove feasibility fast, and ship what's worth shipping. Estimate, plan, design, implement, and close out software work for assigned scope, balancing evolving requirements against fixed budgets and schedules. • Build and maintain whole feature sets - from desktop and web applications through cloud-scale services and the data pipelines that connect them. • Partner across the Studio - translate product and business needs into technical requirements with product managers, project leads, and partner engineering teams; communicate trade-offs and risk early. • Set the engineering bar - lead code reviews, define and uphold standards and processes within the portfolio and contribute to studio-wide practice. • Build at the frontier - stay current on the tools changing how software gets made (AI-assisted development, modern data platforms, new frameworks), and bring what works back to the team. Required Qualifications & Skills • 8+ years of professional software development experience, with a demonstrated track record of leading technical work. • Strong proficiency in one or more modern languages (e.g., TypeScript, C#, Python, Java, JavaScript). • Working knowledge of CI/CD, infrastructure as code (e.g., Terraform), containerization (Docker), AWS, and observability tooling (e.g., Datadog, Splunk). • Experience designing and operating full-stack systems in the cloud, with sound instincts for security, performance, and reliability. • Fluency with modern engineering practice - version control, code review, automated testing, and workflow tooling (Git, GitLab, GitHub, JIRA, Jenkins). • Excellent written and verbal communication, including the ability to document decisions and explain technical trade-offs to non-engineering partners. • Willingness to travel occasionally on behalf of the company. Preferred Qualifications • Experience building software for estimating, project controls, or other business-critical domains. • Depth in data modeling, ETL/data pipelines, and warehouse technologies (e.g., Snowflake). • Familiarity with reactive front-end frameworks (Vue.js preferred) and full-stack TypeScript/Node.js. • Experience integrating or extending vendor SaaS platforms and managing technical aspects of vendor relationships. • Proficiency with AI-assisted development workflows and tooling (e.g., Copilot, Cursor, Claude Code). Education • Bachelor's degree in computer science, software engineering, or a related field Required. Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $148,300.00-$198,800.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.