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Remote Industrial Statistician Jobs (NOW HIRING)

Archer Daniels Midland

This position does not offer remote or hybrid work options. Role Overview We are seeking a highly ... Advanced experience with exposure modeling, statistical analysis, and industrial hygiene data ...

DCI Consulting

Compensation Analyst - Remote

Washington, DC · Remote

$75K - $90K/yr

... industrial-organizational psychology, and labor economics to promote workplace equity and mitigate ... Support statistical analyses to inform compensation design decisions * Help ensure compliance with ...

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Remote Industrial Statistician information

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$50.5K

$86.9K

$116.5K

How much do remote industrial statistician jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote industrial statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

How do remote industrial statisticians typically collaborate with manufacturing teams to implement data-driven process improvements?

Remote Industrial Statisticians often work closely with onsite engineers and production managers through virtual meetings, shared dashboards, and collaborative project management tools. They analyze production data, identify trends or inefficiencies, and present actionable insights that can be implemented by the operations team. Effective communication and clear documentation are essential, as statisticians must ensure their recommendations are understood and feasible for onsite teams. Regular check-ins and feedback loops help bridge the distance and keep everyone aligned on improvement initiatives.

What is the difference between Remote Industrial Statistician vs Remote Data Analyst?

AspectRemote Industrial StatisticianRemote Data Analyst
Required CredentialsStatistics degree, proficiency in statistical softwareStatistics, mathematics, or related degree; data analysis skills
Work EnvironmentIndustrial settings, manufacturing, supply chainVarious industries, business, finance, healthcare
Employer & Industry UsageManufacturers, industrial firms, research labsCorporations, consulting firms, tech companies
Common Search & ComparisonYesYes

The Remote Industrial Statistician focuses on analyzing data within manufacturing and industrial contexts, often requiring specialized knowledge of industrial processes. In contrast, a Remote Data Analyst works across diverse industries, interpreting data to inform business decisions. While both roles involve statistical analysis and similar credentials, their work environments and industry applications differ significantly.

What does a remote industrial statistician do?

A Remote Industrial Statistician analyzes data related to manufacturing processes, quality control, and operational efficiency from a remote location. They use statistical methods to identify trends, solve industrial problems, and help organizations make data-driven decisions. Their work often involves designing experiments, developing predictive models, and communicating findings to engineers and managers. By working remotely, they leverage digital tools to collaborate with teams and access necessary data securely.

What are the key skills and qualifications needed to thrive as a remote industrial statistician?

To thrive as a Remote Industrial Statistician, you need a solid background in statistics, data analysis, and industrial processes, typically supported by a degree in statistics, mathematics, or engineering. Proficiency with statistical software such as R, SAS, or Python, and familiarity with data visualization and database management systems are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with remote teams and clearly present complex findings. These skills are crucial for delivering actionable insights, optimizing industrial operations, and supporting data-driven decision-making in a remote environment.

What cities are hiring for Remote Industrial Statistician jobs?

Cities with the most Remote Industrial Statistician job openings:

What are the most commonly searched types of Industrial Statistician jobs?

The most popular types of Industrial Statistician jobs are:

What states have the most Remote Industrial Statistician jobs?

States with the most job openings for Remote Industrial Statistician jobs include:

What job categories do people searching Remote Industrial Statistician jobs look for?

The top searched job categories for Remote Industrial Statistician jobs are:

Remote Industrial Statistician jobs near you
Infographic showing various Remote Industrial Statistician job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, 2% Contract, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Remote JMP Statistics Tutor

Tutor Me Education

New York, NY • Remote

$40/hr

Contractor

Re-posted 21 days ago

Job description

Tutor Me Education is reshaping how students and professionals learn, and we're looking for experienced tutors with expertise in JMP to provide 1:1 and small-group virtual instruction to learners across the country. If you're passionate about teaching statistics, data analysis, Design of Experiments (DOE), quality engineering, or process improvement - and want the flexibility to build a schedule around your life - we'd love to hear from you.

What you'll do:

  • Deliver engaging, individualized virtual instruction in JMP statistical software and applied statistics concepts
  • Create structured lesson plans tailored to each learner's academic, research, or professional goals
  • Adapt instruction in real time based on learner questions, project needs, and skill level
  • Assist learners with coursework, research projects, manufacturing/process analytics, or professional upskilling
  • Track learner progress and communicate effectively with students and, where applicable, academic or corporate partners
Preferred qualifications:
  • Strong working knowledge of JMP statistical software
  • Background in statistics, engineering, data analytics, manufacturing, quality engineering, Six Sigma, or related fields
  • Experience teaching, tutoring, training, or mentoring preferred
  • Familiarity with DOE, SPC, process optimization, or applied industrial statistics is a strong plus
  • Excellent communication and virtual instruction skills

Why tutors love working with us:

  • Rate - $40 (negotiable)
  • Fully remote - tutor from home on your own computer
  • You set your schedule - choose your availability and update it anytime
  • Steady opportunities - with hundreds of new students signing up daily, we match jobs to your email based on the subjects and student populations you're best suited for

Note: Many of our assignments operate in Pacific Time, so availability during PT hours is a plus.

About Tutor Me Education

We're a tutoring and test-preparation platform connecting qualified educators with families and school districts nationwide. Our tutors choose the jobs that fit their expertise and schedule, and our growing partnerships with school districts mean a steady pipeline of meaningful work - especially in special education, where demand continues to outpace supply.

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About Tutor Me Education

Sourced by ZipRecruiter

Tutor Me Education was started by a group of ivy-league graduates who recognized a surplus of struggling students who had the potential to succeed but were not properly motivated. The team set out to lend a hand between their own academic schedules by offering free one-on-one tutoring and test-preparation. This pursuit to educate and assist struggling students soon transformed into a thriving company. Today, we are proud to say that we have helped thousands of students across the country excel academically and to conquer their courses!

Industry

Education

Company size

1,001 - 5,000 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2011

Social media

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