Sr Data Scientist – Merchandise Scaling – Applied ML
| Company | Target |
|---|---|
| Location | Brooklyn Park, MN, USA |
| Salary | $95000 – $171000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- PhD/MS/BS in Applied Mathematics, Statistics, Physics, Computer Science or related quantitative field
- 3 plus years of experience cleaning, transforming and analyzing large datasets for insights leading to business improvements
- Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices
- Demonstrated knowledge of mathematical and statistical concepts, data structures, algorithm design, data analysis, optimization, simulations and visualizations applied to business problems
- Exceptional experience using Python for machine learning – including supervised and unsupervised methods and their applications
- Experience deploying solutions with large-scale business impact
- Self-driven and results-oriented, with the ability to meet tight timelines
- Strong team player with the ability to collaborate across geographies/time zones
- Excellent written and verbal communication skills
Responsibilities
- Collaborate with Product, Tech, and business partners to solve retail challenges at scale for our merchandising organization
- Design, develop, deploy, and maintain data science models and tools
- Work closely with data scientists, engineers, and business partners to continuously learn and address evolving business needs
- Collaborate with product and engineering partners on peer teams to build and productionize enterprise merchandising solutions
Preferred Qualifications
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No preferred qualifications provided.