Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)
Target7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · Senior
$98,000 – $176,000
Listed on Target’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Target is seeking a senior data scientist to build and optimize recommendation and personalization systems using deep learning and machine learning at scale. This role suits experienced practitioners who want to apply their expertise in PyTorch, ranking algorithms, and large-scale data systems to solve business problems in a collaborative environment.
Our summary, not Target’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Master's or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or equivalent work experience
- 3+ years developing machine learning models with deep learning frameworks like PyTorch or JAX
- Experience building recommendation, personalization, search, ranking or retrieval systems at scale
- Strong Python and SQL programming skills
- Demonstrated experience with optimization, statistics, probability and experimental design
- Experience evaluating models through offline analysis on large datasets and online experimentation
- Knowledge of large-scale data processing platforms such as Spark
- Ability to communicate complex technical concepts to technical and non-technical audiences
- Ability to translate business problems into scalable data science solutions
Nice to have
- Extensive experience leveraging generative AI tools to accelerate development and model delivery