Data Scientist, Data & Analytics
Employment type
Contract
Work setting
On-site
Location
College Grove, TN
Schedule
Day shift
Posted
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Job overview
The Data Scientist, Data & Analytics role is an onsite contract position based in College Grove, TN. Compensation is not specified for this role, which supports business decisions by partnering on a cross-functional team to understand complex data relationships. This role exists to build core data science models and create insights that can be adopted into real business workflows. The incumbent will develop repeatable pipelines and deliver decision-ready outputs to support measurement and decision-making.
What you'll do
- Extract, shape, and validate data using SQL to create analytically-ready datasets.
- Build and improve models and pipelines by developing basic data science models and creating data pipelines for model training.
- Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs, and translating results into implications and recommendations.
What we're looking for
- Skills & competencies
- contractonsitecollege grove tndata scienceanalyticssqlpythonmodelingdashboardstableaupower bistarbucks
- Work arrangement
- Weekend coverage required
Benefits & perks
- Medical, dental, vision, life insurance, short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation, sick time, 401(k) with match, discounted stock program, equity program, tuition coverage, student loan management resources, backup care, DACA reimbursement.
Why this role
Focus on model building, pipeline development, and cross-functional collaboration.
About the employer
Starbucks is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.
Additional details
- Industry sector
- 51
- Industry
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
- Occupation code
- 15-2051.00
You'll be redirected to the employer's application page.
Listing ID: 8f45cc81-ab95-44c1-a5c9-7776b571db8e