Job Opportunity: Senior Data Scientist at Penske

Join Penske as a Senior Data Scientist and lead the way in developing and implementing cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) techniques for our next-generation Supply Chain & Logistics products. Your expertise in data science, machine learning, and distributed computing systems like PySpark will be crucial in advancing Penske's predictive analytics capabilities on an enterprise level.

Position Summary

As a Senior Data Scientist, you'll mentor emerging data scientists, foster best practices, and manage complex projects with potential organization-wide impact. You'll provide thorough analysis, formulate strategic project approaches, and work collaboratively with cross-functional teams including customers, vendors, and suppliers.

Key Responsibilities

Strategic Opportunities and Process Improvement

• Collaborate with diverse stakeholders to identify complex business challenges
• Conduct comprehensive ROI analysis for potential projects
• Contribute to building business cases for enterprise-wide analytics initiatives

Data Evaluation and Analysis

• Identify relevant data sources to solve intricate business queries
• Utilize automated ETL processes for data extraction, blending, cleansing, and organization
• Visualize data for informed decision-making
• Address and rectify outliers, missing, or incomplete data records

Model Building and Implementation

• Select appropriate techniques and algorithms for model development
• Build, test, and fine-tune machine learning models
• Embed models into applications for enterprise-level usage

Communication and Leadership

• Engage in discussions about best practices for modeling activities
• Provide regular project updates and results
• Lead discussions on Penske's data-driven vision and strategy
• Mentor junior data scientists to foster their growth

Exploring New Technologies and Industry Trends

• Stay updated on logistics industry trends
• Evaluate new technologies for potential application to Penske's business

Qualifications

Experience and Education:

• 6+ years of experience with a master’s degree in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related fields
• 4+ years of experience with a PhD in similar fields preferred
• 4+ years designing and building machine learning applications using both structured and unstructured datasets

Skills and Competencies:

• Proficiency in Python or other high-level scripting languages
• Experience with distributed computing frameworks, especially PySpark
• Expertise in advanced Machine Learning and Deep Learning techniques
• Solid experience with SQL
• Ability to manage multiple intricate projects
• Skill in translating complex data insights into strategies for non-technical stakeholders
• Strong oral and written communication skills
• Effective collaboration with tech and non-tech teams
• Proven ability to mentor junior team members
• Familiarity with model deployment, MLOps practices, and containerization technologies (like Docker and Kubernetes) is a plus

Physical Requirements

• Ability to read, communicate, analyze information, and recall instructions
• Required to stand, walk, sit, use hands, and occasionally lift/move up to 25lbs/12kg
• Specific vision abilities include close vision, distance vision, peripheral vision, depth perception, and focus adjustment

Reasonable accommodations available for individuals with disabilities.

Penske is an Equal Opportunity Employer.

About Penske Logistics

Penske Logistics, a wholly owned subsidiary of Penske Truck Leasing, operates globally in North America, South America, Europe, and Asia. We provide leading companies with supply chain management and logistics services, including transportation, warehousing, and freight management. to learn more