Data Scientist

Position Summary: This role will develop the next generation of tools and insights for people leaders and strategic decision makers across Penske. Within HR People Analytics, this role will be key in establishing Penskes advanced and predictive analytics capabilities around topics such as engagement, process efficiency, retention, workforce planning, risk avoidance, and D&I. The Data Scientist will work on 1 3 projects concurrently. The projects at this level are large and complex, often with organization-wide impact. This position provides analysis and develops approach and scope on each project. Such efforts require cross-functional involvement functional departments, vendors, IT, and customers. Major Responsibilities: Data Evaluation and Analysis Identify appropriate data sources to answer business question Extract, blend, cleanse, and organize data Automate ETL processes Visualize data Identify (and ameliorate) outliers and missing or incomplete records in the data Model Building and Implementation Identify appropriate techniques and algorithms for building model Create and test model Build application and embed model Identify Opportunities for Savings and Process Improvement Collaborate with various stakeholders to identify business problems Conduct ROI analysis to determine project feasibility Help build business case for significant enterprise-wide analytics initiatives Communication Engage in best practices discussions with other team members regarding modeling activities Discuss project activities and results with team Participate in discussions about companys big data vision Exploring New Technologies Understand business trends in the logistics industry Evaluate new technologies and determine if and how they can be applied Other projects and tasks as assigned Qualifications: Master's Degree required with a concentration in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field PhD preferred Must have a minimum of 2 years experience in a related field 2 years experience designing and building machine learning applications using either structured or unstructured datasets is required. Must have 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 the following areas: Machine learning (intermediate) Statistical modeling (intermediate) Supervised/unsupervised learning (intermediate) Statistical computing packages (e.g., R) (intermediate) 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 Must be able to communicate effectively in both written and oral form Strong communication skills required Must have strong time management skills 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 of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. Job Category: Information Technology Job Family: Common Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: 2412987