Supply Chain Optimization Jobs
Supply Chain Optimization jobs are open across manufacturing, retail, logistics, healthcare, and consumer goods, from analyst to director level, with specializations in demand planning, network design, and inventory management. Find a role that fits from the openings below and apply directly.
Find JobsOverview
Showing 5 of 22+ Supply Chain Optimization jobs
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.
JOIN TARGET AS SR DATA SCIENTIST – SUPPLY CHAIN OPTIMIZATION
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 Python 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 role at Target as a Sr Data Scientist – Supply Chain 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 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
What we're looking for:
- Strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
- Strong computer science fundamentals with rock-solid, well-structured and efficient code: data structures, design, algorithms, programming 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
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
- MS of PhD in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Statistics, Physics or related quantitative fields
- 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning at scale
- Extensive experience writing highly performant code and deploying algorithms in a production environment. Proficient in predictive and prescriptive algorithms
- Demonstrated experience in one or more programming languages: Python, R 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
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 Sunnyvale 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.
Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_DAmericans 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.
Application deadline is : 08/27/2026Pay 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.
JOIN TARGET AS SR DATA SCIENTIST – SUPPLY CHAIN OPTIMIZATION
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 Python 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 role at Target as a Sr Data Scientist – Supply Chain 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 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
What we're looking for:
- Strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
- Strong computer science fundamentals with rock-solid, well-structured and efficient code: data structures, design, algorithms, programming 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
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
- MS of PhD in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Statistics, Physics or related quantitative fields
- 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning at scale
- Extensive experience writing highly performant code and deploying algorithms in a production environment. Proficient in predictive and prescriptive algorithms
- Demonstrated experience in one or more programming languages: Python, R 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
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 Sunnyvale 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.
Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_DAmericans 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.
Application deadline is : 08/27/2026Supply Chain Optimization Jobs by Experience Level
See All 22 Supply Chain Optimization Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSupply Chain Optimization Job Market
Who's Hiring
Top Industries Hiring
- Retail
- Technology & Software
- E-Commerce & Online Marketplaces
- Energy
- Manufacturing
What Employers Look For
The qualifications that appear most often in supply chain optimization jobs.
- Bachelor's degree in supply chain management, industrial engineering, operations research, or a related field
- Proficiency in supply chain planning software such as SAP IBP, Oracle SCM, or Blue Yonder
- Experience building and running quantitative models for demand forecasting, network design, or inventory optimization
- Familiarity with SQL or Python for data extraction, analysis, and scenario modeling
- APICS CSCP or CPIM certification preferred for mid-level and senior roles
- Demonstrated ability to lead cross-functional projects involving procurement, logistics, and finance stakeholders
Tips for Your Supply Chain Optimization Job Search
Quantify your impact with operational metrics
Recruiters for supply chain optimization roles expect numbers, not narratives. Convert your work into measurable outcomes: reduction in carrying costs, improvement in fill rates, or shrinkage in lead times. Vague claims about process improvement will not move your resume past an ATS or a hiring manager.
List the planning tools you have used
Supply chain optimization postings screen heavily for software experience. Name the specific platforms you have worked in, whether SAP IBP, Oracle SCM, Blue Yonder, or o9 Solutions. Listing broad categories like 'ERP systems' without naming the tools signals surface-level exposure.
Apply early to roles that fit
Migrate Mate lists supply chain optimization openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that match your methodology
Network optimization, lean Six Sigma, and S&OP are treated as distinct skill sets by most hiring teams. Filter openings by the methodology named in the job description and tailor your resume to mirror that language exactly, so your application clears both automated screening and human review.
Prepare a case study for the technical interview
Supply chain optimization interviews routinely include a data problem or scenario exercise. Prepare one concrete case study where you identified an inefficiency, modeled alternatives, and implemented a solution. Walk through the data sources you used, the tradeoffs you weighed, and the measurable result.
Negotiate using scope and system complexity
When a salary offer comes in, anchor your counter on the scale of the supply chain you have managed: SKU count, number of nodes in the network, or annual spend under management. These are the dimensions hiring managers use internally to grade the role, and they give your counter a factual foundation.
Supply Chain Optimization Jobs: Frequently Asked Questions
Which companies are hiring the most supply chain optimizations?
The companies hiring the most supply chain optimizations right now include Amazon, Target, and DSV, with the largest share of openings in California, Washington, and Texas, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in large manufacturers, major retailers, and third-party logistics providers.
How many supply chain optimization jobs are remote?
About 63% of supply chain optimization openings are fully remote or hybrid as of August 2026, though on-site roles remain common for positions tied to distribution centers or manufacturing plants. Network design, demand planning, and analytics-heavy roles tend to offer the most remote flexibility, while roles requiring direct coordination with warehouse operations are more likely to require an on-site presence.
How do you become a supply chain optimization?
Start with a degree in supply chain management, industrial engineering, operations research, or a quantitative business discipline. Build hands-on experience in demand planning, inventory management, or logistics analysis, then develop proficiency in at least one major planning platform. Earning an APICS certification like the CSCP or CPIM strengthens your candidacy for mid-level roles. Most practitioners move up from analyst or planner positions as they demonstrate measurable impact on cost or service levels.
Can I get a supply chain optimization job with little experience?
Entry into supply chain optimization is most practical through adjacent roles such as supply chain analyst, demand planner, or operations analyst, where you build the modeling and data skills the field requires. Internships, co-ops, or project work involving forecasting or inventory analysis are the most direct on-ramps. Demonstrating comfort with Excel-based modeling or SQL queries, even through coursework or personal projects, addresses the biggest gap employers see in early-career candidates.
What does the supply chain optimization interview process look like?
Most supply chain optimization hiring processes include a recruiter screen, a hiring manager conversation focused on your analytical background and past projects, and a technical or case interview where you work through a supply chain problem using data. Some employers add a take-home exercise involving network modeling or scenario analysis. Final rounds typically involve cross-functional stakeholders from finance, operations, or logistics who assess how well you communicate trade-offs to non-technical audiences.
Where can I find and apply to supply chain optimization jobs?
You can find and apply to supply chain optimization jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 22 Supply Chain Optimization Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs