Data Scientist

Penske Automotive Group - Reading, PA

Full-time - Entry Level

Reading, PA

1,001-5,000 employees

Truck Transportation

About the position

Penske Corporation is seeking a Data Scientist to join the Catalyst AI team, an innovative platform designed to revolutionize fleet management through data science. This role is pivotal in enabling customers to compare, diagnose, and manage their fleets effectively, utilizing advanced AI and machine learning techniques. The Catalyst AI platform stands out by providing precise, actionable insights rather than relying on static industry benchmarks, thus allowing for tailored recommendations that meet the unique needs of each customer. As a Data Scientist, you will play a crucial role in supporting the development and enhancement of this groundbreaking technology, ensuring that it continues to meet the evolving demands of the industry. In this position, you will be responsible for a variety of tasks that include data evaluation and analysis, model building, and effective communication of findings. You will assist in identifying suitable data sources to address business questions, extract and organize data, and visualize it for better understanding. Your role will also involve identifying and rectifying outliers and incomplete records, as well as participating in the selection of appropriate modeling techniques and algorithms. You will be expected to create, test, and implement models that can be embedded into applications, contributing to the overall functionality of the Catalyst AI platform. Collaboration is key in this role, as you will work closely with various stakeholders to identify business problems and conduct ROI analyses to assess project feasibility. You will help build business cases to address these challenges and will be involved in documenting and presenting project outcomes. Your ability to translate complex data insights into actionable strategies will be essential for driving process improvements and identifying opportunities for savings within the organization.

Responsibilities

• Assist in identifying appropriate data sources to answer business questions.
• Extract, blend, cleanse, and organize data.
• Visualize data for better understanding.
• Identify and ameliorate outliers and missing or incomplete records in the data.
• Participate in the identification of appropriate techniques and algorithms for building models.
• Create and test models for application embedding.
• Engage in best practices discussions with team members regarding modeling activities.
• Discuss project activities and results with team members.
• Help in the documentation and presentation of project stories.
• Collaborate with stakeholders to identify business problems.
• Conduct ROI analysis to determine project feasibility.
• Help build business cases to solve identified business problems.
• Complete other projects as assigned by the supervisor.

Requirements

• Master's degree required, concentration in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field preferred.
• 1+ years experience along with a Master's degree in data or business analytics.
• 1 year of experience designing and building machine learning applications using 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 in machine learning (intermediate), statistical modeling (elementary), supervised learning (intermediate), statistical computing packages (e.g., R) (elementary), and scripting languages (e.g., Python) (intermediate).
• Ability to collect and analyze complex data.
• Must be able to translate data insights into action.
• Must be able to organize and prioritize work to meet multiple deadlines.
• Strong communication skills required.
• Must have strong time management skills.