Senior Data Scientist - Recommender Systems at Scale

Target; Brooklyn Park (MN); On-site; USD 98,000 - 176,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Employee discount

Job summary

Target is seeking a Sr Data Scientist for the Recommendations (RecSys) group to develop state-of-the-art predictive models at scale. You’ll collaborate with data scientists, ML engineers, and product managers to build AI-driven recommendation products that power digital marketing, search, and personalization efforts.

Strong background in deep learning, statistics, and optimization is required, along with experience delivering production-ready code and communicating complex results to diverse

Qualifications

• MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience.
• 3+ years of experience developing ML models using deep learning frameworks such as PyTorch or JAX.
• Experience building recommendation, personalization, search, ranking or retrieval systems at scale.

Responsibilities

• Develop and iterate on ML models for recommendations at scale.
• Collaborate with data scientists, ML engineers and product managers.
• Deploy and monitor models in production and analyze performance.

Skills

Python

SQL

Communication

Deadline-driven

Education

MS or PhD in CS/ML/OR

Tools

PyTorch

JAX

Spark

Job description

Target is seeking a Sr Data Scientist for the Recommendations (RecSys) group to develop state-of-the-art predictive models at scale. You’ll collaborate with data scientists, ML engineers, and product managers to build AI-driven recommendation products that power digital marketing, search, and personalization efforts.

Strong background in deep learning, statistics, and optimization is required, along with experience delivering production-ready code and communicating complex results to diverse