Sr Applied Data Scientist - Personalization (applied ML, PyTorch, ML Ops)

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

The pay range is $98,000.00 - $176,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A SR DATA SCIENTIST – RECOMMENDATIONS (RecSys)

About Us

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization/RecSys rely on.

As a Sr Data Scientist, you’ll work on the Target Data Science Recommendations team collaborating with data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you’ll perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, and analyze performance and trade-offs. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you’ll document and present work to technical and non-technical peers, build knowledge on business priorities and strategic goals and leverage this knowledge while building requirements and solutions for each business need.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About You

• MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience
• 3 plus 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 leveraging generative AI tools to accelerate development, experimentation and model delivery
• Ability to communicate complex technical concepts and results to both technical and non-technical audiences
• Demonstrated ability to translate business problems into scalable data science solutions
• Self-driven, results-oriented and able to meet tight deadlines