Lead Data Scientist - Supply Chain Optimization / Applied ML (REMOTE or HQ)

Location: 7000 Target Pkwy N, Brooklyn Park, Minnesota, United States, 55445

• Work closely with partner team data scientists to review and iterate on optimization and machine learning algorithms and develop state of the art mathematical models
• Work with engineers to design, deploy and productize models at scale. Our models run many times a day for millions of combinations of stock keeping units and distribution networks
• Work with business partners to learn about the retail business and processes in play
• Ideate and resolve tradeoffs between model granularity and features as well as performance, reliability, and usability of our codebase. Improve engineering standards, tooling, and processes
• Mentor and develop other data scientists and Ai engineers.

• You have a strong knowledge of supply chain optimization - inventory, transportation, sourcing, distribution, fulfillment, planning
• You have a real passion and the technical skills for helping Target make data-informed decisions.
• You possess strong computer science fundamentals and love rock-solid, well-structured, and efficient code: data structures, algorithms, programming languages, and information retrieval.
• You write understandable, testable code with an eye towards maintainability.
• A passion for empirical research and answering hard questions with large scale data
• You are a strong communicator. Explaining complex technical concepts to the business and other data scientists/engineers is no problem for you.
• You understand that simplicity is hard but key to achieving maintainability and to being able to continually deliver value to the business.
• You have usability and convenience for business users in mind.

• M.S in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics or related quantitative fields
• 5+ years of professional experience writing modular and highly performant code and deploying algorithms in a production environment
• Proficient in predictive and prescriptive algorithms
• Proficient in one or more programming languages: Python, Java, Kotlin or C
• Strong engineering mindset and exposure to software engineering principles, Agile, data pipeline engineering, distributed systems, and machine learning at scale
• Experience leading large-scale implementations of optimization, simulation, machine learning and deep learning models
• Excellent written and verbal communication skills

• PhD degree or equivalent experience
• Proficient in application/software architecture (definition, business process modeling, etc.)
• Experience writing production datasets in SQL/Hive or building internal/production data tools for research or experimentation in a scripting language like Python

• We Care, Grown and Win Together!
• You'll work directly on the problems that have the most impact on Target's entire Recommendations/Personalization strategy for all Digital/Target.com products.
• We love open-source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects
• We value diversity! We believe that diversity and inclusion are core importance when creating positive experiences for our guests and we think it's critically important when building our teams
• We value our team members! We treat our team members like people, not like cogs in a machine. We value our team members for who they are, not just what they can get done. We are parents, hobbyists, enthusiasts, travelers, family members, community members and can offer flexibility to our team members' schedules/work arrangements so they can flourish both in and outside of work
• Career development and our '50 days of Learning' mantra allow team member to learn from experts, publish, work on patents, grow new skillset as well as mentoring/volunteering