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Data Scientist III

Job

PENSKE TRUCK LEASING CO. L.P. - Morgantown Road

Remote

Full-Time

Posted 5 days ago (Updated 4 days ago) • Actively hiring

Expires 6/28/2026

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Job Description

Data Scientist III - Multiple Openings Reading, PA 5 DAYS AGO 22586403 Summary Reading, PA Hybrid Competitive Salary 6 Months Experience Master's degree No Commission 40.00 hours per week / Day Shift / Full-Time Description
EMPLOYER
Penske Truck Leasing Co., L.P.
TITLE:
Data Scientist III - (Multiple Openings)
DUTIES:
Assist in identifying appropriate data sources to answer business question. Extract, blend, cleanse, and organize data. Visualize data. Identify (and ameliorate) outliers and missing or incomplete records in the data. Participate in the identification of appropriate techniques and algorithms for building model. Create and test model. Build application and embed model. Engage in best practices discussions with other team members regarding modeling activities. Discuss project activities and results with team. Help in the documentation and presentation of project stories. Collaborate with various stakeholders to identify business problems. Help conduct ROI analysis to determine project feasibility. Help build business case to solve such business problems. Other projects as assigned by the supervisor. Hybrid work from home permitted two (2) days per week.
SCHEDULE
40 hours per week, Monday through Friday
LOCATION
Penske Truck Leasing Co., L.P., 2675 Morgantown Road, Reading, PA 19607
REQUIREMENTS:
Education and Experience:
Master's degree (or foreign degree equivalent) in Data Science, Mathematics, Business Analytics, Operations Research, or related field plus six (6) months of experience as Data Analyst, Intern, or any occupation in which the required experience was gained.
Special Skills:
Plus demonstrated experience in:
  • Designing and building machine learning applications using either structured or unstructured datasets.
  • Practical experience programming using Python, R, or other high level scripting languages.
  • Machine learning techniques including logistic regression, decision trees, random forests, or clustering.
  • SQL.
  • Machine learning.
  • Statistical modeling.
  • Supervised Learning.
  • Statistical computing packages.
  • Scripting languages.
  • Ability to collect and analyze complex data.
  • Ability to translate data insights into action.
CONTACT:
To apply, send resume to Barbara Schleicher at: barbara.schleicher@penske.com. Please include Ref #194, job title, and location. Additional Details How To Identify Potential Job Scams