Sr Applied Data Scientist - Personalization (applied ML, PyTorch, ML Ops)
About The Position
As a Sr Data Scientist on Target’s Data Science Recommendations team, you will collaborate with data scientists, machine learning engineers, and product managers to build and augment AI-driven digital recommendation products. You will use knowledge of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization to explore and analyze data, implement algorithmic solutions to specifications, deploy solutions to production, and analyze their performance and trade-offs. The role involves following Agile principles and software design best practices, participating in code reviews, and creating maintainable, well-tested code with relevant documentation. You will document and present work to technical and non-technical peers, develop knowledge of business priorities and strategic goals, and use that knowledge to formulate requirements and solutions for business needs. The position operates in a Hybrid/Flex for Your Day arrangement, requiring work both onsite at the assigned Target HQ location in Minnesota and virtually as determined by the role, team, and tasks. Work duties may not be performed outside the country of the primary work location unless otherwise prescribed by Target. Job duties may change due to business needs.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or relevant work experience.
- At least 3 years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX.
- Experience building recommendation, personalization, search, ranking, or retrieval systems at scale.
- Strong programming skills in Python and SQL.
- Demonstrated experience with optimization, statistics, probability, and experimental design.
- Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results.
- Knowledge of large-scale data processing and analytics platforms such as Spark.
- Extensive experience using generative AI tools to accelerate development, experimentation, and model delivery.
- Ability to communicate complex technical concepts and results to technical and non-technical audiences.
- Demonstrated ability to translate business problems into scalable data science solutions.
- Self-driven and results-oriented, with the ability to meet tight deadlines.
- Motivated team player who thrives in a collaborative global environment.
Responsibilities
- Collaborate with data scientists, machine learning engineers, and product managers to build and enhance AI-driven digital recommendation products.
- Explore and analyze data.
- Implement algorithmic solutions based on specifications.
- Deploy solutions to the production environment and analyze their performance and trade-offs.
- Follow Agile principles and software design best practices, participate in code reviews, and create maintainable, well-tested code with relevant documentation.
- Document and present work to technical and non-technical peers.
- Understand business priorities and strategic goals and use this knowledge to develop requirements and solutions for business needs.
Benefits
- Eligible team members and dependents may receive medical, vision, dental, and life insurance.
- 401(k)
- Employee discount
- Short-term disability
- Long-term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
