Senior Data Scientist: AI & ML Strategy Lead

Penske Truck Leasing

Reading (Berks County)

On-site

USD 120,000 - 180,000

Full time

13 days ago
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Job summary

Penske Truck Leasing is seeking a Senior Data Scientist to transform complex data into business value through AI and ML. You will design, develop, and deploy scalable analytics solutions that drive data-driven decisions and measurable outcomes.

You will build data pipelines, collaborate with cross-functional teams, mentor junior data scientists, and lead multiple medium- to large-scale projects from concept to production, ensuring reliability and governance.

Qualifications

  • Bachelor's degree required, preferably in Engineering, Data Science, Computer Science, Statistics, Mathematics, or related field.
  • Minimum 6 years of experience designing and building data science, machine learning, or AI applications using structured or unstructured datasets is required.
  • Experience using programming and statistical tools (e.g., Python, R, SQL, Dataiku, AWS, Oracle or similar) to manipulate data and generate insights from large datasets is required.
  • Demonstrated experience with multiple machine learning techniques, such as logistic regression, decision trees, random forests, clustering, and other predictive modeling methods is required.
  • Experience working with cloud platforms and data environments, such as AWS and Oracle, is preferred.
  • Experience working with large-scale data processing, data engineering, and cloud-based analytics is preferred.
  • Experience applying AI techniques, including generative AI, large language models (LLMs), natural language processing, or other AI technologies, is preferred.
  • Demonstrated ability to evaluate AI and machine learning solutions from a systems perspective and apply systems thinking.
  • Ability to effectively prioritize and manage multiple projects simultaneously.
  • Regular, predictable, and 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, and submit to a background investigation (including past employment, education, and criminal history) and drug screening are required.

Responsibilities

  • Identify source data and build data models to solve complex business problems.
  • Extract, transform, and prepare structured and unstructured data.
  • Collaborate with IT to build scalable data pipelines and analytical datasets for modeling and analytics.
  • Clean, validate, and monitor data quality.
  • Perform feature engineering and exploratory data analysis.
  • Develop data quality metrics and visualizations to identify trends and opportunities.
  • Design, develop, deploy, and monitor statistical and machine learning models.
  • Select appropriate statistical methods, modeling techniques, and algorithms.
  • Design and evaluate predictive analytics solutions.
  • Conduct statistical analyses and experiments to validate hypotheses and support business decisions.
  • Develop prototypes and proof of concepts.
  • Operationalize analytical solutions for production use.
  • Support the AI/ML lifecycle by monitoring model performance and driving continuous improvement.
  • Monitor model performance, address model drift, and improve business outcomes.
  • Apply advanced analytical techniques, including forecasting, classification, clustering, and NLP, and Sentiment Analysis.
  • Apply AI techniques, including generative AI, agentic AI, and LLMs, where appropriate to enhance analytical solutions.
  • Lead multiple medium- to large-scale data science initiatives from concept through implementation.
  • Translate business challenges into analytical solutions.
  • Define technical approaches and project methodologies.
  • Establish best practices for data science development, documentation, and model governance.
  • Partner with Enterprise Engineering, Advanced Analytics, HRIT, and other cross-functional teams to deliver enterprise solutions.
  • Mentor and provide technical guidance to junior data scientists.
  • Evaluate emerging technologies and recommend improvements to analytical solutions and data science practices.
  • Partner with business leaders and subject matter experts to identify data-driven opportunities.
  • Communicate analytical methods, insights, and recommendations to technical and non-technical audiences.
  • Present findings through effective data storytelling and visualization.
  • Measure and communicate the business impact of analytical solutions using appropriate performance metrics.
  • Create clear technical documentation and project deliverables.
  • Facilitate discovery sessions and support solution design.
  • Stay current with advances in data science, machine learning, AI, and cloud technologies.
  • Build expertise in business domains and enterprise data assets.
  • Promote responsible AI through fairness, transparency, and explainability.
  • Share knowledge and best practices across the data science community.
  • Identify opportunities to improve analytical capabilities and business outcomes.

Skills

Data science
ML & AI
Statistical analysis
Experimentation
Feature engineering
Leadership

Education

Bachelor's degree in Engineering / Data Science / CS

Tools

Python
R
SQL
Dataiku
AWS
Oracle

Job description

Penske Truck Leasing is seeking a Senior Data Scientist to transform complex data into business value through AI and ML. You will design, develop, and deploy scalable analytics solutions that drive data-driven decisions and measurable outcomes.

You will build data pipelines, collaborate with cross-functional teams, mentor junior data scientists, and lead multiple medium- to large-scale projects from concept to production, ensuring reliability and governance.

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