National Radio Astronomy Observatory
Socorro, New Mexico
National Radio Astronomy Observatory Title: VLA Operations Specialist I-II Location: Old Hwy 60, New Mexico, USA Requisition Number: 167 Job Family: Operations Specialist Pay Type: Hourly Required Education: NET Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the famous Very Large Array (VLA) in New Mexico, the Green Bank Telescope in West Virginia, and the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile. These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail. The NRAO is seeking an Operations Specialist to join our Operations team at the Very Large Array (VLA) in New Mexico. The Operations Specialist provides skilled technical assistance, under limited supervision, in the execution of astronomical observing programs, basic analysis and archiving of data. The Operations Specialist operates an array of 27 telescopes as one system ensuring the acquisition of data from the instrument delivers a high level of data quality while ensuring the safety of personnel and equipment. Candidates with preferred experience and education will be considered for a higher-level Operation Specialist ranking; duties and responsibilities increase with each level. This is a "Safety Sensitive" position as described in the Position Requirements below. The position is based at the VLA, 50 miles west of Socorro, NM. Socorro is a small, historical town in the Rio Grande Valley, 75 miles south of Albuquerque What You Will be Doing: The essential responsibilities of an Operations Specialist include: Operating and monitoring telescopes and supporting equipment; Cross training to operate the Very Long Baseline Array (VLBA); Troubleshooting and taking corrective action when errors and faults occur; Communicating with personnel working on the array and tracking activity, notifying personnel of dangerous weather conditions, monitoring fire alarm systems and responding to emergencies; Initiating telescope control and preparing the antenna, receivers, clocks, recording systems, and other hardware/software for operation; Receiving observing instructions from on-site or remote observers and executing observing programs including, but not limited to, processing incoming observe files, verifying against published schedules, annotating files on the observation schedule, executing observing programs, and sending pointing results to observers; Aiding and accommodating requests from, observers, scientific staff, engineers, and technicians in regards to basic commands for telescope controls and data analyses; Monitoring readings and alerts on multiple computer screens to detect unsafe equipment conditions and ensuring all systems are configured correctly and operating normally; Monitoring fringe amplitude readings and data flagging codes to check data quality; Performing system tests to measure values used to finely tune each antenna. Verifying antenna functionality and receiver performance and updating system parameters, following antenna moves or a major hardware upgrade, in consultation with a system expert; Taking prescribed actions to protect telescope equipment; Making necessary personnel call-outs when equipment safety is compromised and/or when major problems occur; Maintaining an accurate observing log of failures, abnormal conditions, significant events, equipment status changes, procedural changes, or special instructions from observers or staff; Writing detailed maintenance reports for hardware and software problems; Documenting operational procedures and assisting with their upkeep; Collecting meteorological data for the National Weather Service; Driving daily shuttles to/from the VLA and the NRAO facility in Socorro; Proactive compliance with all NRAO policies and procedures is required; Other duties may be assigned. Additional responsibilities of an Operations Specialist II include: Providing advanced troubleshooting support and corrective actions when errors and faults occur; Performing ongoing analysis of operator's tools and methods, and documenting improvements; Developing procedures and documentation for new equipment based on technical information supplied by engineers or supervisors; Writing technical reports to describe operating characteristics, abnormal conditions, and functional limitations; Providing input/feedback on related and proposed hardware/software developments/issues and assisting in troubleshooting any detected problems; Training new operators; Assisting scientists in basic data analysis; Work Environment The Operations Specialist will work as part of a team that supports a 24 hour / 7-day rotating shift pattern consisting of day, evening and night shifts. A typical workweek is 4/10hr days with days off between shift changes. The work is indoors at a console with multiple computer terminals. Operators must be available for emergency call out and may be required to work overtime to cover vacant shifts or in emergencies until relieved. The employee will work at high altitudes and self-drive an Observatory vehicle to the VLA site. The Operator may be required to drive at night and possibly in adverse weather conditions. Who You Are: You have an Associate's degree (A. A.) or equivalent from an accredited two-year college or technical school in math, physics, science or a related technical field. While not required, you may have a bachelor's degree in a related field and three or more years of experience in operating an industrial-sized astronomical telescope is preferred. Competency Summary Must be able to follow procedures and policies. Be able to handle emergencies calmly. Able to express yourself clearly both verbally and in writing, be attentive to detail, and able to work well with others, sometimes in stressful situations. Must be able to operate a computer using process control software applications, and able to use a Windows computer and word processing and spreadsheet software. Must have experience with a LINUX/UNIX operating environment. Must have demonstrated ability to read and interpret documents such as schematics, operating and maintenance instructions, and procedure manuals. Attention to detail is critical Highly organized and able to multitask Excellent communication skills Additional Requirement The Operations Specialist is required to hold and maintain a valid NM Driver's License. Observatory employees must be authorized to work in the United States. Physical Requirements The physical demands and the work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. The employee must occasionally lift and/or move up to 50 pounds. Specific vision requirements include close vision, distance vision, color and depth perception, and the ability to adjust focus. The employee must be able to hear instructions and warnings. All Operators must be available for emergency call out and may be required to work extended shifts of up to 14 hours, when needed. Hearing acuity is required in order to perform work safely with instructions being given over radios and to respond to system alarms; visual acuity is required to read and understand written/graphic/data material on a computer screen and determine colors displayed on a computer monitor Safety Sensitive The selected candidate must successfully pass a post-offer, pre-employment/pre-placement drug screen. Failure to pass the screen will disqualify the candidate from employment consideration for a period of six months from the date of the results. Total Rewards: Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth. Compensation AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. The NRAO strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical . click apply for full job details
04/01/2026
Full time
National Radio Astronomy Observatory Title: VLA Operations Specialist I-II Location: Old Hwy 60, New Mexico, USA Requisition Number: 167 Job Family: Operations Specialist Pay Type: Hourly Required Education: NET Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the famous Very Large Array (VLA) in New Mexico, the Green Bank Telescope in West Virginia, and the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile. These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail. The NRAO is seeking an Operations Specialist to join our Operations team at the Very Large Array (VLA) in New Mexico. The Operations Specialist provides skilled technical assistance, under limited supervision, in the execution of astronomical observing programs, basic analysis and archiving of data. The Operations Specialist operates an array of 27 telescopes as one system ensuring the acquisition of data from the instrument delivers a high level of data quality while ensuring the safety of personnel and equipment. Candidates with preferred experience and education will be considered for a higher-level Operation Specialist ranking; duties and responsibilities increase with each level. This is a "Safety Sensitive" position as described in the Position Requirements below. The position is based at the VLA, 50 miles west of Socorro, NM. Socorro is a small, historical town in the Rio Grande Valley, 75 miles south of Albuquerque What You Will be Doing: The essential responsibilities of an Operations Specialist include: Operating and monitoring telescopes and supporting equipment; Cross training to operate the Very Long Baseline Array (VLBA); Troubleshooting and taking corrective action when errors and faults occur; Communicating with personnel working on the array and tracking activity, notifying personnel of dangerous weather conditions, monitoring fire alarm systems and responding to emergencies; Initiating telescope control and preparing the antenna, receivers, clocks, recording systems, and other hardware/software for operation; Receiving observing instructions from on-site or remote observers and executing observing programs including, but not limited to, processing incoming observe files, verifying against published schedules, annotating files on the observation schedule, executing observing programs, and sending pointing results to observers; Aiding and accommodating requests from, observers, scientific staff, engineers, and technicians in regards to basic commands for telescope controls and data analyses; Monitoring readings and alerts on multiple computer screens to detect unsafe equipment conditions and ensuring all systems are configured correctly and operating normally; Monitoring fringe amplitude readings and data flagging codes to check data quality; Performing system tests to measure values used to finely tune each antenna. Verifying antenna functionality and receiver performance and updating system parameters, following antenna moves or a major hardware upgrade, in consultation with a system expert; Taking prescribed actions to protect telescope equipment; Making necessary personnel call-outs when equipment safety is compromised and/or when major problems occur; Maintaining an accurate observing log of failures, abnormal conditions, significant events, equipment status changes, procedural changes, or special instructions from observers or staff; Writing detailed maintenance reports for hardware and software problems; Documenting operational procedures and assisting with their upkeep; Collecting meteorological data for the National Weather Service; Driving daily shuttles to/from the VLA and the NRAO facility in Socorro; Proactive compliance with all NRAO policies and procedures is required; Other duties may be assigned. Additional responsibilities of an Operations Specialist II include: Providing advanced troubleshooting support and corrective actions when errors and faults occur; Performing ongoing analysis of operator's tools and methods, and documenting improvements; Developing procedures and documentation for new equipment based on technical information supplied by engineers or supervisors; Writing technical reports to describe operating characteristics, abnormal conditions, and functional limitations; Providing input/feedback on related and proposed hardware/software developments/issues and assisting in troubleshooting any detected problems; Training new operators; Assisting scientists in basic data analysis; Work Environment The Operations Specialist will work as part of a team that supports a 24 hour / 7-day rotating shift pattern consisting of day, evening and night shifts. A typical workweek is 4/10hr days with days off between shift changes. The work is indoors at a console with multiple computer terminals. Operators must be available for emergency call out and may be required to work overtime to cover vacant shifts or in emergencies until relieved. The employee will work at high altitudes and self-drive an Observatory vehicle to the VLA site. The Operator may be required to drive at night and possibly in adverse weather conditions. Who You Are: You have an Associate's degree (A. A.) or equivalent from an accredited two-year college or technical school in math, physics, science or a related technical field. While not required, you may have a bachelor's degree in a related field and three or more years of experience in operating an industrial-sized astronomical telescope is preferred. Competency Summary Must be able to follow procedures and policies. Be able to handle emergencies calmly. Able to express yourself clearly both verbally and in writing, be attentive to detail, and able to work well with others, sometimes in stressful situations. Must be able to operate a computer using process control software applications, and able to use a Windows computer and word processing and spreadsheet software. Must have experience with a LINUX/UNIX operating environment. Must have demonstrated ability to read and interpret documents such as schematics, operating and maintenance instructions, and procedure manuals. Attention to detail is critical Highly organized and able to multitask Excellent communication skills Additional Requirement The Operations Specialist is required to hold and maintain a valid NM Driver's License. Observatory employees must be authorized to work in the United States. Physical Requirements The physical demands and the work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. The employee must occasionally lift and/or move up to 50 pounds. Specific vision requirements include close vision, distance vision, color and depth perception, and the ability to adjust focus. The employee must be able to hear instructions and warnings. All Operators must be available for emergency call out and may be required to work extended shifts of up to 14 hours, when needed. Hearing acuity is required in order to perform work safely with instructions being given over radios and to respond to system alarms; visual acuity is required to read and understand written/graphic/data material on a computer screen and determine colors displayed on a computer monitor Safety Sensitive The selected candidate must successfully pass a post-offer, pre-employment/pre-placement drug screen. Failure to pass the screen will disqualify the candidate from employment consideration for a period of six months from the date of the results. Total Rewards: Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth. Compensation AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. The NRAO strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical . click apply for full job details
Director, Data Science and Marketing Analytics Innovation US-MI-Livonia Job ID: Type: Regular Full-Time # of Openings: 1 Category: Marketing Analytics & Data Science Livonia, MI Hybrid Overview Why AAA Life AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive. How You'll Work Work Solution: Hybrid Relocation Eligibility: Available Responsibilities What You'll Do The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge-including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation -to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers. Product Data and Analytics Strategy : Develop and execute data and analytics plans aligned with product and organizational goals. Predictive Modeling : Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness. Marketing Analytics : Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI. Cross-functional Collaboration : Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations. Team Leadership : Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment. Data Infrastructure : Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines. Experimental Design : Implement testing frameworks and A/B experiments to boost customer experience and marketing performance. Performance Reporting : Develop dashboards and reports to monitor product performance and key business metrics. Automation Strategy : Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities. Innovation and Optimization : Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications Basic Required Qualifications Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field Minimum 10 years of experience in data science, analytics, or related field Minimum of 7 years of experience in managing and leading people Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus. Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation. Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology. Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems. Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership. Preferred Qualifications Previous experience in the life insurance, insurance, or adjacent industry Experience with Generative AI technologies for marketing applications Experience leading cross-functional teams in a matrix organization without direct authority Experience with customer journey and lifetime value analysis Position Success Criteria Excellent written and verbal communication skills Strong organizational, problem-solving, and analytical skills Versatility, flexibility, and willingness to adapt to changing priorities Ability to exercise independent judgment and demonstrate leadership skills Proven ability to manage multiple projects and meet deadlines Strong interpersonal skills for effective collaboration and stakeholder engagement While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future. PM21 PI74b8132d497f-8688
04/01/2026
Full time
Director, Data Science and Marketing Analytics Innovation US-MI-Livonia Job ID: Type: Regular Full-Time # of Openings: 1 Category: Marketing Analytics & Data Science Livonia, MI Hybrid Overview Why AAA Life AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive. How You'll Work Work Solution: Hybrid Relocation Eligibility: Available Responsibilities What You'll Do The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge-including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation -to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers. Product Data and Analytics Strategy : Develop and execute data and analytics plans aligned with product and organizational goals. Predictive Modeling : Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness. Marketing Analytics : Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI. Cross-functional Collaboration : Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations. Team Leadership : Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment. Data Infrastructure : Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines. Experimental Design : Implement testing frameworks and A/B experiments to boost customer experience and marketing performance. Performance Reporting : Develop dashboards and reports to monitor product performance and key business metrics. Automation Strategy : Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities. Innovation and Optimization : Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications Basic Required Qualifications Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field Minimum 10 years of experience in data science, analytics, or related field Minimum of 7 years of experience in managing and leading people Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus. Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation. Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology. Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems. Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership. Preferred Qualifications Previous experience in the life insurance, insurance, or adjacent industry Experience with Generative AI technologies for marketing applications Experience leading cross-functional teams in a matrix organization without direct authority Experience with customer journey and lifetime value analysis Position Success Criteria Excellent written and verbal communication skills Strong organizational, problem-solving, and analytical skills Versatility, flexibility, and willingness to adapt to changing priorities Ability to exercise independent judgment and demonstrate leadership skills Proven ability to manage multiple projects and meet deadlines Strong interpersonal skills for effective collaboration and stakeholder engagement While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future. PM21 PI74b8132d497f-8688
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
04/01/2026
Full time
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: