Southwest Research Institute
San Antonio, Texas
Who We Are: Join the Defense and Intelligence Solutions team; team members support design and development complex and innovative software solutions across a variety customers and platform types. Enjoy a hybrid work schedule out of San Antonio, Texas with excellent benefits and team-members! Objectives of this Role: Adding a highly motivated, proactive, and detailed oriented Lead Computer Scientist to a dynamic team of Software Architects, other Computer Scientists and Engineers that are designing, developing, and documenting next generation software solutions. Contribute to/lead small teams through all aspects of the Software Life Cycle using Agile Methodologies, to include requirements creation and interpretation, leading design, trade studies, development, documentation, testing, task tracking and status, and deployment. Support/lead design and development for new technical solutions and frameworks for thin client, server side development, OOP, embedded programming and database patterns and implementation. Create and contribute to customer required requirements, design and other documentation. Understand applied research solutions and contribute to designs that will support more robust scalability, sustainability, and availability to enable moving the solution from a research to an operational environment. Support proposals as needed. Effective and proactive communication, both verbally and in writing. Give task updates, recommend technical solutions, ask questions, create technical documentation, and support client interactions. Daily and Monthly Responsibilities: Contribute to/lead design and dev of advanced software architectures utilizing object oriented and embedded programming fundamentals, distributing computing, thin clients, and data distribution systems. Proactively communicating on task status and communicating with leadership. Contribute to/lead all phases of the project life cycle: developing technical requirements, designing and developing innovative solutions to difficult problems, testing and integration with a larger system, and installing and documenting complete solutions. Proactively and effectively interacting with team members, working with the team and customer to understand requirements and constraints of the target environment. Working with internal teams to support SW side of proposals, to include basis of estimates. Assist or create WBS for SW efforts to support Agile development cycles, assist and/or lead task estimations and schedule creation for SW tasks assigned and for junior team members. Assess and quantify technical debt based on constraints and requirements. If tasking permits, working a hybrid home/office schedule. Up to 25% travel. Travel to SwRI facilities, short-term travel to government client facilities in the U.S. and overseas. Requirements: Requires a Bachelors degree in Computer Science or Computer Engineering (emphasis on programming and software development) or related such as Computational Engineering. Current DoD security clearance is highly desired. 8 years: Experience in a variety of programming languages such as Javascript, JAVA, C#, C++, HTML5, and Python. 7 years of experience for those with a Masters degree. Be able to analyze and translate complex technical requirements into an application design, implementation, unit and integration testing; assess and communicate technical debt associated with constraints and design, create software unit testing, and integration & documentation. Be proficient in working with Microsoft Tools, Teams, Various Software Repositories, Various Build Environments, Software Engineering practices, Various Operating systems, Distributed computing, and Computer Science principles. Excellent verbal and written communication skills, proactive communicator, detailed oriented, fast learner, work in a collaborative team environment, and the ability to self-direct. A valid/clear driver's license is required.
Who We Are: Join the Defense and Intelligence Solutions team; team members support design and development complex and innovative software solutions across a variety customers and platform types. Enjoy a hybrid work schedule out of San Antonio, Texas with excellent benefits and team-members! Objectives of this Role: Adding a highly motivated, proactive, and detailed oriented Lead Computer Scientist to a dynamic team of Software Architects, other Computer Scientists and Engineers that are designing, developing, and documenting next generation software solutions. Contribute to/lead small teams through all aspects of the Software Life Cycle using Agile Methodologies, to include requirements creation and interpretation, leading design, trade studies, development, documentation, testing, task tracking and status, and deployment. Support/lead design and development for new technical solutions and frameworks for thin client, server side development, OOP, embedded programming and database patterns and implementation. Create and contribute to customer required requirements, design and other documentation. Understand applied research solutions and contribute to designs that will support more robust scalability, sustainability, and availability to enable moving the solution from a research to an operational environment. Support proposals as needed. Effective and proactive communication, both verbally and in writing. Give task updates, recommend technical solutions, ask questions, create technical documentation, and support client interactions. Daily and Monthly Responsibilities: Contribute to/lead design and dev of advanced software architectures utilizing object oriented and embedded programming fundamentals, distributing computing, thin clients, and data distribution systems. Proactively communicating on task status and communicating with leadership. Contribute to/lead all phases of the project life cycle: developing technical requirements, designing and developing innovative solutions to difficult problems, testing and integration with a larger system, and installing and documenting complete solutions. Proactively and effectively interacting with team members, working with the team and customer to understand requirements and constraints of the target environment. Working with internal teams to support SW side of proposals, to include basis of estimates. Assist or create WBS for SW efforts to support Agile development cycles, assist and/or lead task estimations and schedule creation for SW tasks assigned and for junior team members. Assess and quantify technical debt based on constraints and requirements. If tasking permits, working a hybrid home/office schedule. Up to 25% travel. Travel to SwRI facilities, short-term travel to government client facilities in the U.S. and overseas. Requirements: Requires a Bachelors degree in Computer Science or Computer Engineering (emphasis on programming and software development) or related such as Computational Engineering. Current DoD security clearance is highly desired. 8 years: Experience in a variety of programming languages such as Javascript, JAVA, C#, C++, HTML5, and Python. 7 years of experience for those with a Masters degree. Be able to analyze and translate complex technical requirements into an application design, implementation, unit and integration testing; assess and communicate technical debt associated with constraints and design, create software unit testing, and integration & documentation. Be proficient in working with Microsoft Tools, Teams, Various Software Repositories, Various Build Environments, Software Engineering practices, Various Operating systems, Distributed computing, and Computer Science principles. Excellent verbal and written communication skills, proactive communicator, detailed oriented, fast learner, work in a collaborative team environment, and the ability to self-direct. A valid/clear driver's license is required.
Penske Truck Leasing Co., L.P.
Beachwood, Ohio
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:
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: