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Penske Transportation Solutions
Staff Data ScientistPenske Transportation Solutions • Irving, TX, United States
Staff Data Scientist

Staff Data Scientist

Penske Transportation Solutions • Irving, TX, United States
30+ days ago
Job type
  • Full-time
Job description

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.
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Staff Data Scientist • Irving, TX, United States

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