Sr Data Scientist - Global Supply Chain and Logistics

We need to output HTML fragment with sections: h3 headings for sections present: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must only include sections that have real specific content. Let's parse the posting. Content includes: - Pay range: "$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." Thus we have Pay section. - Benefits: "In addition to your pay, Target cares about and invests in you as a team member... Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more... 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." Thus Benefits section. - About the role: There's a paragraph: "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. 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." Thus About the role. - Responsibilities: bullet list: "In this role at Target as a Sr Data Scientist – Global Supply Chain and Logistics, you will: Work closely with fellow data scientists to review and iterate on optimization and machine learning algorithms and develop state of the art mathematical modelsCollaborate with engineers to design and deploy algorithms in production at scale. Our models run many times a day for millions of combinations of stock keeping units and distribution networksWork with business partners to learn about the retail business and processes in playIdeate and resolve tradeoffs between model granularity and features as well as performance, reliability, and usability of our codebase. Improve engineering standards, tooling, and processes" Thus Responsibilities. - Requirements/Qualifications/Skills: The posting includes "What We're Looking For" bullet list: Strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment, planning, etc.; Strong computer science fundamentals and love rock-solid, well-structured, and efficient code: data structures, algorithms, programming languages, and information retrieval; Strong technical and communication skills to deliver with quality and evangelize technical solutions to business, product and engineering partners; Ability to write understandable, testable code with an eye towards maintainability; You constantly think about the end-user for solutions you develop, and prioritize business impact over technical sophistication; Ability to deal with ambiguity, and prioritize progress over perfection; You have an eye for detail, and relentless curiosity for supply chain problems; You have a knack for answering open questions with data; You understand that simplicity is hard but key to achieving maintainability and to being able to continually deliver value to the business. Then "Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs." (skip filler) Then "About You" bullet list: PhD or MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics, or related quantitative fields; 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning modeling at scale; Demonstrated experience writing highly performant code and deploying algorithms in a production environment. 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 ranging from mixed-integer programming, stochastic dynamic programming and reinforcement learning; Experience in implementing advanced statistical techniques like regression, clustering, PCA, time series forecasting, etc.; Proficient in application/software architecture (definition, 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; Able to produce reasonable documents and narratives suggesting actionable insights; Excellent communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives; Self-driven and results oriented; able to meet tight timelines; Collaborative team player with ability to partner effectively across time zones. Thus we have qualifications/requirements/skills. We need to decide which sections to output. The instruction: Use headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should include sections only if posting has real specific content. We have content for About the role, Responsibilities, Requirements (maybe combine Requirements and Qualifications?), Qualifications, Skills. The posting includes both "What We're Looking For" (skills/requirements) and "About You" (qualifications). We could map: - Requirements: maybe the "What We're Looking For" list (skills and abilities). - Qualifications: the "About You" list (education, experience, technical proficiencies). - Skills: maybe overlapping; but we could decide to include only Requirements and Qualifications, and maybe not Skills to avoid duplication. However instruction says prefer a few substantive sections over many thin ones. So we could combine Requirements and Qualifications into one section? But headings are fixed; we cannot create custom headings. We could output both Requirements and Qualifications if they have distinct content. Let's see if they are distinct enough. "What We're Looking For" includes: strong knowledge of supply chain optimization, strong CS fundamentals, strong technical and communication skills, ability to write understandable testable code, think about end-user, deal with ambiguity, eye for detail, knack for answering open questions with data, understand simplicity is hard. "About You" includes: PhD/MS, 3+ years experience leading large-scale implementations, demonstrated experience writing highly performant code and deploying algorithms, proficient in predictive and prescriptive algorithms, proficient in one or more programming languages, expert at formulating and implementing mathematical models, experience implementing advanced statistical techniques, proficient in application/software architecture, experience writing production datasets in SQL/Hive or building internal/production data tools, able to produce reasonable documents and narratives suggesting actionable insights, excellent communication skills with ability to tell data driven stories, self-driven and results oriented, able to meet tight timelines, collaborative team player across time zones. There is some overlap (communication skills, ability to write code, etc.) but they are distinct enough to keep both sections. Thus we will output sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay. No Schedule (no schedule info). Also maybe Skills not needed. We must not repeat job title as heading. Already not. We must not include boilerplate like EEO, application deadline, etc. Remove those. We must preserve all substantive information. So we need to include all bullet points from each section. We need to format as

About the role

then

... prose ...

maybe combine paragraphs. For bullet lists use

• . We need to ensure we don't include filler like "Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs." That's filler; we should drop it. Also drop "Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits." Actually that's a link; we might keep as part of benefits? It's a URL; we could keep as plain text within

  . It's substantive? It's a link to benefits page; we could keep but it's not essential. The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. So we should keep that URL as part of benefits description. Similarly "Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D" That's also a link; we should keep? It's about benefits eligibility; it's substantive. We'll include in Benefits section maybe as a note. Also "Americans With Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel." This is boilerplate EEO/legal; we should remove. "Application deadline is : 10/15/2026" remove. Now craft HTML. We'll have:

  About the role

  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. 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.

  Responsibilities

  • Work closely with fellow data scientists to review and iterate on optimization and machine learning algorithms and develop state of the art mathematical models
  • Collaborate with engineers to design and deploy algorithms in production 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

  Requirements

  • Strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
  • Strong computer science fundamentals and love rock-solid, well-structured, and efficient code: data structures, algorithms, programming languages, and information retrieval
  • Strong technical and communication skills to deliver with quality and evangelize technical solutions to business, product and engineering partners
  • Ability to write understandable, testable code with an eye towards maintainability
  • You constantly think about the end-user for solutions you develop, and prioritize business impact over technical sophistication
  • Ability to deal with ambiguity, and prioritize progress over perfection
  • You have an eye for detail, and relentless curiosity for supply chain problems
  • You have a knack for answering open questions with data
  • You understand that simplicity is hard but key to achieving maintainability and to being able to continually deliver value to the business

  Qualifications

  • PhD or MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics, or related quantitative fields
  • 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning modeling at scale
  • Demonstrated experience writing highly performant code and deploying