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Remote Data Scientist Supply Chain Jobs (NOW HIRING)

Goleta, CA (remote position) We celebrate diversity-of your background, your experiences and your ... Bachelor's degree or equivalent in Data Engineering, Data Science, Supply Chain Management or ...

Proven experience in data science or a related field. * Proficiency in programming languages such ... Strong communication skills and the ability to work collaboratively in a remote environment. Salary ...

Data Scientist

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

Supply chain and commercial teams WHAT YOU BRING TO THE TABLE... (MUST HAVE) * 4+ years of ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

Supply chain and commercial teams WHAT YOU BRING TO THE TABLE... (MUST HAVE) * 4+ years of ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New ... Deploy supply chain optimization software solutions built by coding in Python, SQL and Tableau.

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Remote Data Scientist Supply Chain information

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$46K

$165K

$243.5K

How much do remote data scientist supply chain jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote data scientist supply chain in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Scientist Supply Chain vs Remote Data Analyst Supply Chain?

AspectRemote Data Scientist Supply ChainRemote Data Analyst Supply Chain
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsUsually requires a bachelor's degree in Data Analysis, Statistics, or related areas
Work EnvironmentFocuses on advanced modeling, machine learning, and predictive analyticsCenters on data interpretation, reporting, and basic analysis
Employer & Industry UsageUsed by logistics, manufacturing, and retail companies for strategic insightsUtilized across similar industries for operational reporting and trend analysis

Remote Data Scientist Supply Chain roles involve developing complex models and predictive analytics to optimize supply chain operations, requiring advanced technical skills. In contrast, Remote Data Analyst Supply Chain positions focus on interpreting data, generating reports, and supporting decision-making with less emphasis on machine learning. Both roles are vital in supply chain management but differ in technical depth and responsibilities.

What does a Remote Data Scientist in Supply Chain do?

A Remote Data Scientist in Supply Chain analyzes large sets of data related to procurement, inventory, shipping, and logistics to identify trends and optimize processes. They use statistical models, machine learning, and data visualization tools to provide actionable insights that help companies improve efficiency, reduce costs, and forecast demand. Working remotely, they collaborate with supply chain managers and IT teams using digital communication platforms. Their work supports better decision-making and helps organizations stay competitive in rapidly changing markets.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist in Supply Chain, and why are they important?

A Remote Data Scientist in Supply Chain needs strong analytical skills, expertise in statistics, and a background in data science or a related quantitative field, often supported by a relevant degree. Proficiency in programming languages such as Python or R, experience with machine learning frameworks, and familiarity with supply chain management systems like SAP or Oracle are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable business decisions. These competencies ensure data-driven optimization of supply chain processes, leading to cost savings and improved operational efficiency.

How does a remote data scientist collaborate with supply chain teams to drive impactful solutions?

As a remote data scientist in supply chain, you typically work closely with cross-functional teams, including operations, logistics, procurement, and IT, using virtual collaboration tools and regular video meetings. Effective communication is key, as you'll translate complex data analyses into actionable insights for stakeholders who may not have technical backgrounds. You'll often be tasked with building predictive models, optimizing inventory, and identifying process efficiencies, all while ensuring alignment with business goals. Despite working remotely, proactive engagement and clear reporting help maintain strong team integration and project momentum.
More about Remote Data Scientist Supply Chain jobs
What cities are hiring for Remote Data Scientist Supply Chain jobs? Cities with the most Remote Data Scientist Supply Chain job openings:
What are the most commonly searched types of Data Scientist Supply Chain jobs? The most popular types of Data Scientist Supply Chain jobs are:
What states have the most Remote Data Scientist Supply Chain jobs? States with the most job openings for Remote Data Scientist Supply Chain jobs include:
Infographic showing various Remote Data Scientist Supply Chain job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Data Scientist - Supply Chain Analytics

Senior Data Scientist - Supply Chain Analytics

Best Buy

Richfield, MN • On-site, Remote

Other

PTO

Posted 8 days ago


Best Buy rating

6.8

Company rating: 6.8 out of 10

Based on 1,772 frontline employees who took The Breakroom Quiz

14th of 30 rated technology retailers


Job description

Senior Data Scientist - Supply Chain Analytics 
As a Senior Data Scientist on the Supply Chain Analytical Solutions team, you'll take the lead on solving complex supply chain challenges that directly impact how products move from warehouses to customers. You'll work across transportation, distribution, and fulfillment, turning messy data into clear, actionable insights. This is a hands-on, high-impact role where you'll frame problems, select appropriate methodologies, develop solutions, and see your work drive real results. If you enjoy tackling ambiguous problems and influencing decisions, you'll find this work both challenging and rewarding. A strong candidate will have a proventrack recordofleveragingadvanced data science and operations research techniques to improve operationalperformance, andproducing solutions that deliver measurable business value and inform operational decisions.  
This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.
What you'll do 

  • Lead the formulation and execution of complex, ambiguous analytics problems across supply chain domains, owning solutions end to end,from problem framing andmethodologyselection through deployment, monitoring, and measurement of business impact.  
  • Serve as a trusted analytics advisor tofulfillment,logistics, and operations partners,to translate business context intomodels that drivemeasurable business impact throughimproveddecisions.  
  • Partner crossfunctionally with supply chain, technology, data engineering, and product teams to ensure analytical solutions are productionready, scalable, and adopted.  
  • Effectively communicate with diverse audiences,including technical teams, business stakeholders, and executive leadership,through both written and verbalchannels.  
  • Provide technical leadership and mentorship to Data Scientists and Decision Scientists, raising analytical rigor, solution quality, and consistency across the team.  
  • Explore and apply emerging analytics methods and technologies to advancesupply chain capabilities, whileestablishingand reinforcing best practices for documentation, reproducibility, validation, and analytical standards.  

Basic qualifications 

  • Bachelor's degree in mathematics, statistics, economics, computer science, operations research, industrial engineering or a related quantitative field  

  • 4+ years of relevant experience in research and/or a quantitative field, including 3+ years of applied or industry experience or equivalent experience. 
  • 4+yearshands-on experience using data analytics (e.g., SQL, Python, R), and machinelearningand/or optimization tools (i.e., Python, R,Gurobi, Vertex AI). 
  • 2+ years of experience working with large, structured and unstructured datasets 
  • Ability to deliver solutions that drive measurable business outcomes 
  • Demonstratedtrack recordof delivering analytics solutions that providemeasurablebusiness valueandinfluencedecisions.  
  • Familiarity with and hands-on application of more than one analytical or modeling paradigm, such as optimization,machine learning,artificial intelligence,statistical modeling, simulation, or other operations research techniques, applied to realworld business problems. 
  

Preferred qualifications 

  • Master's or PhD in a quantitative discipline 
  • Experience in retail, supply chain, logistics or fulfillment 
  • Experience working with globally distributed teams 
What's in it for you
We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.
Our benefits include:
  • Competitive pay
  • Generous employee discount
  • Physical and mental well-being support


Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.


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About BEST BUY

Sourced by ZipRecruiter

As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life -- in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Richfield, MN, US

Year founded

1966