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

About the role

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.

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.

Responsibilities

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.

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.

Requirements

• 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

Qualifications

• Self-driven, results-oriented and able to meet tight deadlines
• Motivated team player who thrives in a collaborative - global environment

Skills

• 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

Benefits

Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

Pay

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.

Schedule

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs.