Senior Personalization Data Scientist (RecSys & ML Ops)

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

Benefits offered by this job

Health benefits

401(k)

Job summary

Target is seeking a Sr Applied Data Scientist to advance personalization and recommendations using applied ML. You will partner with data scientists, ML engineers, and product managers to design, prototype, and deploy models that improve user experiences at scale in a hybrid work setting in Minnesota.

The role emphasizes deep learning, optimization, and rigorous evaluation, with opportunities to influence Digital Marketing, Supply Chain, and AI initiatives across Target.

Qualifications

• MS or PhD in CS, ML, statistics, OR related field.
• 3+ years of ML model development with PyTorch or JAX.
• Experience with recommender/personalization systems at scale.
• Strong Python and SQL skills.
• Experience offline/online evaluation and experimental design.
• Familiarity with Spark and large-scale data processing.
• Ability to communicate complex results to diverse audiences.

Responsibilities

• Develop and improve AI-driven personalization and recommendations.
• Collaborate with data scientists, ML engineers, and product managers.
• Push models to production and monitor performance.
• Perform data exploration and algorithmic experimentation.
• Document methods and present findings to stakeholders.

Skills

Python

SQL

PyTorch

JAX

Recommendation systems

Machine learning

Statistical analysis

Optimization

Spark

Communication

Education

MS or PhD in CS/ML/Statistics/Applied Mathematics

Tools

Spark

JAX

Job description

Target is seeking a Sr Applied Data Scientist to advance personalization and recommendations using applied ML. You will partner with data scientists, ML engineers, and product managers to design, prototype, and deploy models that improve user experiences at scale in a hybrid work setting in Minnesota.

The role emphasizes deep learning, optimization, and rigorous evaluation, with opportunities to influence Digital Marketing, Supply Chain, and AI initiatives across Target.