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

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. 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.

Responsibilities

• 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.
• Perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, and analyze performance and trade-offs.
• Communicate complex technical concepts and results to both technical and non-technical audiences.
• Translate business problems into scalable data science solutions.

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

Qualifications

• 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
• Motivated team player who thrives in a collaborative - global environment

Skills

• Understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization
• 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

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. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.