Data Scientist - People Analytics
Company: Penske
Location: Reading
Posted on: October 28, 2024
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Job Description:
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 Penske's 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 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 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. About Penske
Truck Leasing/Transportation Solutions Penske Truck
Leasing/Transportation Solutions is a premier global transportation
provider that delivers essential and innovative transportation,
logistics and technology services to help companies and people move
forward. With headquarters in Reading, PA, Penske and its
associates are driven by a dedication to excellence and a
commitment to customer success. Visit Go Penske to learn more. 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 Date posted: 10/25/2024
Keywords: Penske, Lancaster , Data Scientist - People Analytics, Professions , Reading, Pennsylvania
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