Senior Data Scientist - REMOTE OPPORTUNITY

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This position has the ability to work remotely

Position Summary
As a Senior Data Scientist, you develop the next generation of Supply Chain & Logistics Analytics for Penske. You will be key in establishing Penske's advanced and predictive analytics capabilities, primarily at an enterprise level. As a Senior Data Scientist you will also work on 3 - 5 projects concurrently. The projects at this level are large and complex, often with organization-wide impact. Provides analysis and develops approach and scope on each project. Such efforts require cross-functional involvement with customers, vendors, and suppliers.

Major Responsibilities:

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

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

Communication:
• Engage in best practices discussions with other team members regarding modeling activities
• Discuss project activities and results with team
• Participate in discussions about company's 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
Qualifications:
• 5 years of experience along with a master's degree in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field required.
• 3 years of experience along with a PhD in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field preferred.
• 3 years of Experience designing and building machine learning applications using both structured and 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 are preferred.

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.

About Penske Logistics
Penske Logistics is a wholly owned subsidiary of Penske Truck Leasing. With operations in North America, South America, Europe and Asia, Penske Logistics provides supply chain management and logistics services to leading companies around the world. Penske Logistics delivers value through its design, planning and execution in transportation, warehousing and freight management. Visit ****to learn more.

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