Posted on: April 10, 2021
This role will develop the next generation of Supply Chain &
Logistics Analytics for Penske. This role will be key in
establishing Penske's advanced and predictive analytics
capabilities, primarily at an enterprise level. The Data Scientist
will work on 1- 3 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.
Data evaluation and analysis:
Identify appropriate data sources to answer business question
Extract, blend, cleanse, and organize data
Automate ETL processes
Identify (and ameliorate) outliers and missing or incomplete
records in the data
Model building and implementation
Identify appropriate techniques and algorithms for building
Create and test model
Build application and embed model
Identify opportunities for savings and process improvement:
Collaborate with various stakeholders to identify business
Conduct ROI analysis to determine project feasibility
Help build business case for significant enterprise-wide analytics
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
Master's degree in Engineering, Operations Research, Statistics,
Applied Math, Computer Science, or related quantitative field
2 years of experience in a related field required
2 years of experience in Experience designing and building machine
learning applications using either 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.
Ability to collect and analyze complex data and translate data
insights into action
Ability to organize and prioritize work to meet multiple
Effective communication skills in both oral and written form
Regular, predictable, full attendance is an essential function of
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.
-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
-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 www.PenskeLogistics.com to learn
Keywords: Penske, Cleveland , Data Scientist, Professions , Beachwood, Ohio
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