Lead AI Scientist - Supply Chain Optimization

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Target Corporation
Supply Chain, Computer, Research, Engineering, Python, Java, SQL
Full Time

Job Description

JOIN TARGET AI AS LEAD AI SCIENTIST - SUPPLY CHAIN OPTIMIZATION

Join the Target AI's Supply Chain team where we develop discrete event simulations of our global supply chain. Our mission is to leverage operations research, simulation, and machine learning to help Target makes intelligent supply chain business decisions at scale. This involves writing high-performant, scalable code as well as designing analytical solutions to extract insights and to prescribe best courses of action.

You'll work in an environment that provides the freedom and agility of a startup - with the security and vast resources of a large established company with continuous learning opportunities provided. Our team aims to be inclusive, collaborative, highly motivated, smart, and humble!

In this role at Target as a Lead AI Scientist, you will:
  • 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.


What we're looking for:
  • 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.


Requirements:
  • M.S in Computer Science, Math, Statistics, Operations Research, Industrial Engineering, 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


Preferred Requirements:
  • 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


Why work with us at Target AI?
  • 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


Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1- for additional information.


Company Information

Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. Our global in-house technology team of 4,500+ is comprised of Engineers, Data Scientists, Architects, Coaches, and Product Managers committed to making Target America’s easiest, safest, and most joyful place to shop and work. We operate agile and leverage open-source software to adapt and build best-in-class technology for our guests and team members – and we do so with a focus on diversity and inclusion, experimentation, and continuous learning.

Dice Id : 10111064
Position Id : R0000178308
Originally Posted : 2 months ago

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