Data Scientist

Position Summary:

Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition, replacement planning, lifecycle analysis, procurement strategy, supplier performance, residual value analysis, and operational efficiency. The incumbent will be responsible for converting raw data from multiple sources into actionable business intelligence through data evaluation, ETL development, dashboarding, predictive modeling, forecasting, optimization, and process improvement analysis.

This role requires strong business judgment, technical analytical skills, and the ability to translate complex data findings into practical recommendations for business stakeholders. The position will support cross-functional initiatives and collaborate with internal customers, vendors, suppliers, OEMs, and business partners.

This position is located at our Corporate offices in a beautiful country setting 7 miles South of Reading, PA which is a convenient commute with ample free and easy parking. The role is an in-office position where the Data Scientist is expected to be in the office full-time.

Major Responsibilities:
Perform quantitative and qualitative analysis using traditional and advanced techniques, including trending, correlation, forecasting, optimization, clustering, and what-if analysis, to support Procurement, Fleet Planning, field, and leadership teams.
Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to identify planning opportunities, cost savings, and process improvements.
Identify data sources, extract and combine data from internal and external systems, and cleanse, validate, and organize data for analysis.
Build and maintain ETL processes, analytical datasets, reporting tables, and repeatable workflows to improve data reliability and efficiency.
Design, test, validate, and refine predictive, forecasting, optimization, and machine learning models for fleet lifecycle planning, replacement planning, procurement, residual value analysis, and operational improvement.
Build dashboards, reports, visualizations, and analytical tools to communicate findings, trends, risks, and opportunities to technical and business audiences.
Partner with stakeholders to define business problems, project scope, data availability, expected outcomes, and practical analytical solutions.
Collaborate with internal teams, vendors, suppliers, OEMs, and cross-functional partners to support delivery, adoption, and rollout of models, reports, and analytics tools.
Maintain documentation, data definitions, assumptions, model logic, reporting logic, and analytical processes for reference.
Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and emerging technologies; evaluate tools for business use.
Manage multiple tasks while supporting 1-3 simultaneous projects and meeting deadlines.
Other projects and tasks as assigned.

Qualifications:
Bachelor's degree in Data science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field required.
Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field preferred.
3+ years of experience in a related field required
3-5 years of experience in Experience designing and building machine learning applications using either structured or unstructured datasets is required.
Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic regression, decision trees, random forests and clustering is required. Knowledge and experience with SQL is preferred.

Experience with ELT Processes, data visualization and reporting tools, including Power BI or similar platforms, required.
Experience working with vehicle, fleet, procurement, transportation, logistics, maintenance, supplier, telematics, financial, or operational data preferred.
Ability to collect, cleanse and analyze complex data and translate data insights into action
Ability to organize and prioritize work to meet multiple deadlines
Strong problem-solving skills, learning agility, attention to detail, and passion for logistics, fleet planning, analytics, and continuous improvement.
Effective communication skills in both oral and written form
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…