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Remote Data Scientist Supply Chain Jobs (NOW HIRING)

Aequor

Supply Chain Sr. Associate

Thousand Oaks, CA · Remote

... remote, cross-functional environment. Detail-oriented, organized, and adaptable with a continuous improvement mindset. Bachelor's degree in Supply Chain, Life Sciences, Engineering, or a related ...

Teamwork Corporate

Supply Chain Consultant

Management Consulting, SAP Business Solutions, Data Analytics and Technology Platforms. Recognized ... You have worked in or alongside pharma, biotech, or life sciences environments (preferred, not ...

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

As of Aug 18, 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 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?

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.

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.

More about Remote Data Scientist Supply Chain jobs

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What states have the most Remote Data Scientist Supply Chain jobs?

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Remote Data Scientist Supply Chain jobs near you
Infographic showing various Remote Data Scientist Supply Chain job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions Inc

San Francisco, CA • Remote

$35 - $40.50/hr

Contractor

Medical, Retirement

Posted 20 days ago

Job description

Data Engineer – Data & AI, Supply Chain (Remote)
 
We are seeking an experienced Data Engineer to join the Data & AI Supply Chain Organization. This role will focus on designing, developing, and supporting scalable cloud-based data products and data pipelines that power analytics and AI initiatives across Supply Chain domains including Sourcing, Transportation, and Warehouse Management (WMS).
The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP), including Dataproc, BigQuery, SQL, and dbt, along with expertise in building scalable ETL/ELT pipelines and modern data warehouse solutions.
 
This is a 40-hour per week, 18-month contract (possible extension), a remote role.
 
This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
 
Responsibilities:
●    Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
●    Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
●    Develop and maintain scalable data models that support analytics, reporting, and AI initiatives.
●    Ingest, transform, validate, and publish data from multiple enterprise source systems.
●    Partner with Product Managers, Business Analysts, Data Architects, and Solution Architects to deliver business-driven data solutions.
●    Develop reusable data transformation components following engineering standards and best practices.
●    Optimize data processing performance, reliability, and cost efficiency.
●    Perform unit testing, data validation, troubleshooting, and production support to ensure high-quality data solutions.
●    Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
●    Create and maintain technical documentation including data flows, solution designs, and implementation details.
 
Requirements:
●    Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
●    4+ years of Data Engineering experience.
●    Hands-on experience building cloud-native data solutions on Google Cloud Platform (GCP).
●    Strong experience with:
○    Dataproc
○    BigQuery
○    SQL
○    dbt (Data Build Tool)
●    Experience designing and building scalable ETL/ELT pipelines.
●    Strong knowledge of dimensional data modeling and analytical data warehouse concepts.
●    Experience working with Git-based version control and CI/CD practices.
●    Strong analytical, troubleshooting, and problem-solving skills.
●    Excellent communication and collaboration skills.
 
Preferred Qualifications:
•    Experience with Apache Airflow.
•    Experience with Apache Kafka or other event streaming platforms.
•    Experience with PySpark.
•    Python programming experience for data engineering and automation.
•    Knowledge of data quality, metadata management, and data governance principles.
 
Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Data Engineer – Data & AI, Supply Chain (Remote) role.
 
Please feel free to forward this opportunity to others who may be interested.
 
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.
 
Compensation: $35/hr. - $40.50/hr.
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