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Data Scientist

Job

Villanova University

Reading, PA (In Person)

Full-Time

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

Expires 6/28/2026

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Job Description

Data Scientist - Multiple positions Reading, PA 5 DAYS AGO 22586426 Summary Reading, PA Hybrid Competitive Salary 3 Months Experience Master's degree No Commission 40.00 hours per week / Day Shift / Full-Time
Description COMPANY:
Penske Truck Leasing Co., L.P.
TITLE:
Data Scientist - (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. Mentor junior data scientists on modeling techniques, best practices, and releases. Oversee and delegate projects, ensuring alignment with business goals and timely delivery by junior team members. Hybrid work permitted up to three (3) days per week within a reasonable commuting distance from Reading, PA.
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 three (3) 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.
  • Intermediate Machine learning.
  • Statistical modeling.
  • Intermediate Supervised Learning.
  • Statistical computing packages.
  • Intermediate 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 #191, job title, and location. Additional Details How To Identify Potential Job Scams