Associate Data Scientist

Penske•Reading, PA

30d

About The Position

This role will help in the development of predictive analytics solutions. The Associate Data Scientist will work on 1-2 projects concurrently under the supervision of senior members of the Data Science team. The projects at this level will vary from small and straightforward to large and complex. Similarly, impact can range from team/department level up to organization-wide. The Associate Data Scientist provides analysis and assists in developing machine-learning models to solve business problems. Such efforts require cross-functional involvement from various disciplines across the organization.

Requirements

Masters degree required, concentration in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field preferred
1+ years experience along with a Master's degree in data or business analytics
1 year of 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.
Experience in the following areas:
Machine learning (intermediate)
Statistical modeling (elementary)
Supervised learning (intermediate)
Statistical computing packages (e.g., R) (elementary)
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 oral and written 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.

Responsibilities

Data evaluation and analysis:
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
Model building and implementation
Participate in the identification of 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
Help in the documentation and presentation of project stories
Identify opportunities for savings and process improvement:
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