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Remote Manufacturing Data Scientist Jobs (NOW HIRING)

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

Location: Remote (Nashville, TN strongly preferred) Job-Type: Full-Time Role Overview: We are ... This individual will work with large, complex datasets spanning manufacturing, distribution ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers ... This hybrid position is based in Lynchburg, VA with potential for some remote work. If you are ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers ... This hybrid position is based in Lynchburg, VA with potential for some remote work. If you are ...

Stellar IT Solutions

Data Scientist

Saint Louis, MO · Remote

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Corning

Data Scientist (Remote)

Corning, NY · On-site +1

Remote Role Summary The Data Scientist II / III role is an exciting opportunity to join Corning's Data Science & Insight (DSI) team, where the individual will develop AI and machine learning ...

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

... manufacturing analytics. This role operates at the intersection of optimization, enterprise data ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

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Showing results 1-20

All JobsRemote Manufacturing Data Scientist Jobs

Remote Manufacturing Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote manufacturing data scientist jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote manufacturing data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How to make $100,000 a year working from home?

A remote manufacturing data scientist can earn $100,000 or more annually by gaining specialized skills in data analysis, machine learning, and manufacturing processes, often requiring a bachelor's or master's degree in a related field. Building experience, obtaining relevant certifications, and working for companies that offer remote roles with competitive salaries are key factors. Strong proficiency in programming languages like Python or R and familiarity with manufacturing data systems can enhance earning potential.

Can a data scientist work fully remote?

A remote manufacturing data scientist can often work fully remote, especially if their role involves analyzing data, developing models, and using tools like Python or R. However, some positions may require on-site presence for collaboration, equipment access, or manufacturing site visits, so remote work availability varies by employer and job requirements.

How does a Remote Manufacturing Data Scientist typically collaborate with onsite engineering and production teams?

As a Remote Manufacturing Data Scientist, collaboration with onsite teams is often facilitated through regular virtual meetings, shared dashboards, and collaborative project management tools. You may analyze production data, develop predictive models, and then present insights and recommendations to engineers and plant managers via video calls or detailed reports. Building strong communication skills and familiarity with digital collaboration platforms is essential for bridging the gap between remote analytics and hands-on manufacturing processes. Proactively seeking feedback and clarifying technical requirements with onsite teams ensures your data-driven solutions are both practical and impactful.

What does a Remote Manufacturing Data Scientist do?

A Remote Manufacturing Data Scientist analyzes large sets of manufacturing data to uncover insights, optimize processes, and support decision-making, all while working offsite. They use statistical methods, machine learning, and data visualization tools to identify patterns, predict equipment failures, and recommend improvements for efficiency and quality. Collaborating with engineering and production teams, they help implement data-driven solutions without being physically present at the manufacturing facility. Their work contributes to reducing costs, improving productivity, and ensuring product quality in the manufacturing sector.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently, which is valuable for a remote manufacturing data scientist analyzing large datasets and optimizing processes.

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

To thrive as a Remote Manufacturing Data Scientist, you need expertise in data analytics, statistical modeling, and a solid educational background in fields like computer science, engineering, or statistics. Familiarity with programming languages (such as Python or R), machine learning platforms, and manufacturing-specific systems like ERP or MES is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies enable you to extract actionable insights from complex manufacturing data, driving process improvements and operational efficiency from a remote setting.

Is AI replacing data scientists?

AI is transforming the role of data scientists, including those in manufacturing, by automating routine tasks such as data cleaning and basic analysis. However, data scientists are still essential for designing models, interpreting complex results, and making strategic decisions, as AI tools complement rather than replace human expertise. Skills in machine learning, programming, and domain knowledge remain critical in this evolving field.

What is the difference between Remote Manufacturing Data Scientist vs Remote Manufacturing Engineer?

AspectRemote Manufacturing Data ScientistRemote Manufacturing Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in data analysis toolsDegree in Mechanical, Industrial, or Manufacturing Engineering; technical skills in manufacturing processes
Work EnvironmentPrimarily analytical, working with data sets and software tools remotelyFocus on process design, optimization, and technical implementation, often involving remote collaboration
Industry UsageUsed across manufacturing sectors for data-driven decision makingApplied in designing and improving manufacturing systems and processes

The main difference is that a Remote Manufacturing Data Scientist focuses on analyzing manufacturing data to inform decisions, while a Remote Manufacturing Engineer concentrates on designing and optimizing manufacturing processes. Both roles may work remotely and require technical expertise, but their core responsibilities differ significantly.

More about Remote Manufacturing Data Scientist jobs
What cities are hiring for Remote Manufacturing Data Scientist jobs? Cities with the most Remote Manufacturing Data Scientist job openings:
What are the most commonly searched types of Manufacturing Data Scientist jobs? The most popular types of Manufacturing Data Scientist jobs are:
What states have the most Remote Manufacturing Data Scientist jobs? States with the most job openings for Remote Manufacturing Data Scientist jobs include:
What job categories do people searching Remote Manufacturing Data Scientist jobs look for? The top searched job categories for Remote Manufacturing Data Scientist jobs are:
Remote Manufacturing Data Scientist jobs near you
Infographic showing various Remote Manufacturing Data Scientist job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Staffing Agency Recruitment

Franklin, TN • Remote

$125K - $150K/yr

Full-time

Posted 9 days ago

Be an early applicant

Job description

This is a remote position.

Location: Remote (Nashville, TN strongly preferred)
Job-Type: Full-Time
Role Overview:
We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will partner with the business to uncover opportunities, optimize performance, and drive data-informed outcomes.

This role will partner closely with marketing, sales, operations, supply chain, corporate, and finance teams to identify opportunities, develop predictive and prescriptive models, and deliver actionable insights that improve revenue growth, operational efficiency, and margin performance. The ideal candidate combines strong technical expertise in statistical modeling and advanced analytics with the ability to translate complex data into clear, business-relevant insights for marketing and sales teams.

This individual will work with large, complex datasets spanning manufacturing, distribution, pricing, and customer behavior. While this role does not require hands-on data engineering responsibilities, it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data engineering concepts to effectively partner, translate business needs, and ensure alignment across data workflows and infrastructure.



Requirements

Requirements:

  • 5+ years of progressive experience in data science, advanced analytics, or a closely related field, with a strong preference supporting marketing or commercial teams
  • Experience in the development of machine learning models and AI frameworks
  • Experience working with data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar tools)
  • Experience working with enterprise data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery)
  • Experience working with data from large enterprise applications (e.g., ERP, CRM or operational systems)
  • Fluency in Python and SQL (required); R (optional)
  • Demonstrated experience developing and validating statistical models, machine learning algorithms, and advanced analytical solutions using large, complex datasets
  • Strong competency in statistical & quantitative methods (e.g., hypothesis testing, regression, probability theory, experimental design, etc.)
  • Demonstrated experience with experimentation and causal analysis
  • Demonstrated experience with experimental design, model evaluation, and performance measurement
  • Strong understanding of data pipelines, ETL processes, and data architecture
  • Proven success in supervised and unsupervised learning (e.g., regression, classification, clustering)
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
  • Excellent presentation, communication, and stakeholder management skills, with the ability to explain technical concepts in business terms to a diverse audience
  • Highly self-motivated with proven ability to operate autonomously, managing multiple priorities in a fast-paced environment
  • Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset
  • Bachelor’s degree in computer science, mathematics, data science, statistics, or a related quantitative field (Master’s degree preferred)
  • Occasional travel up to 15% of time
  • Occasional exposure to a plant environment

Preferred Qualifications:

  • Experience working with SAP (S/4 HANA, ECC, BTP, etc.)
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Experience in text analytics, image recognition, graph analysis, or other specialized ML techniques (e.g., deep learning)
  • Experience in manufacturing, building products, or construction-related industries