Target

Global Supply Chain and Logistics

SrDataScientist

$118–211k Sunnyvale, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr Data Scientist at Target. Skills: optimization, machine learning, mathematical models, Python. review and iterate on optimization. iterate on machine learning algorithms”

What You'll Achieve.

optimize decisions at scale; prescribe best courses of action; deliver with quality; prioritize business impact; prioritize progress; achieving maintainability; continually deliver value to the business

Industry & Context.

Global Supply Chain and Logistics
Problems you'll solve

resolve tradeoffs; answer open questions with data

What They're Looking For.

Must Have

knowledge of supply chain optimization, computer science fundamentals, technical and communication skills, Ability to write understandable, testable code, Ability to deal with ambiguity, eye for detail, curiosity for supply chain problems, understand that simplicity is hard, 3+ years of experience leading large-scale implementations, Demonstrated experience writing highly performant code, Proficient in predictive and prescriptive algorithms, Proficient in one or more programming languages: Python, R, Kotlin, or Java, Expert at formulating and implementing mathematical models, Experience in implementing advanced statistical techniques, Proficient in application/software architecture, Experience writing production datasets in SQL/Hive, building internal/production data tools, Able to produce reasonable documents and narratives, Excellent communication skills, Self-driven, meet tight timelines, Collaborative team player

Nice to Have

PhD, reinforcement learning, cloud platform certs

What You'll Do.

review and iterate on optimization

iterate on machine learning algorithms

develop state of the art mathematical models

design and deploy algorithms in production

learn about the retail business

learn about processes in play

Ideate and resolve tradeoffs

Improve engineering standards

How You'll Work.

Team & Collaboration

Work closely with fellow data scientists; Collaborate with engineers; Work with business partners; partner effectively across time zones

Communication Scope

technical and communication skills; communication skills; clearly tell data driven stories

Full Job Description

The pay range is $118,000.00 - $211,000.00 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](https://corporate.target.com/careers/benefits). **JOIN TARGET AS SR DATA SCIENTIST – GLOBAL SUPPLY CHAIN AND LOGISTICS** **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](https://corporate.target.com/about). A role with Target Data Sciences means the chance to help develop and manage state of the art predictive and prescriptive algorithms that use data to automate and optimize decisions at scale. The Target Data Science – Global Supply Chain and Logistics team leverages operations research, simulation, and machine learning to help Target makes intelligent, end-to-end supply chain business decisions. 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. **In this

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