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Remote Industrial Statistician Jobs (NOW HIRING)

Kaizen Analytix

Data Scientist

Atlanta, GA · Remote

$60/hr

Contract Location : Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global ... Use statistical tools and techniques to extract and analyze trends from the customer database ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Industrial experience. * Ability to communicate effectively, both verbally and in writing.

Wood Plc

Senior Risk Assessor

Nashville, TN · On-site +1

For candidates not in those locations, we would consider fully remote work for a highly qualified ... Knowledge of toxicology, statistics, human health risk assessment and regulatory compliance

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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 Sep 7, 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.

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.

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 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 92% Full Time, 4% 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.

Data Scientist

Kaizen Analytix

Atlanta, GA • Remote

$60/hr

Contractor

Posted 5 days ago

Job description

Employment Type: Contract
Location: Remote
Travel Required: N/A
About Kaizen
Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact. 
Job Overview
Kaizen Analytix LLC, an analytics services company seeking a qualified Data Science Contractor with a background in exploratory analysis, data modeling, regression analysis, and ML/AI models. The ideal candidate has elasticity estimation and/or pricing experience. Responsibilities and job requirements are below. This role requires a 40-hour/week commitment for 6 months with possible extension.
Key Responsibilities
• Provide analytical support by leveraging data mining tools and analytical methodologies
• Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI
• Integrate internal and external data sources, be comfortable working with both structured and unstructured data
• Assist in development, maintenance, and enhancement of statistical models in Python
• Use statistical tools and techniques to extract and analyze trends from the customer database warehouse
• Prepare and deliver presentations with complex analytical concepts
• Comfortable presenting to the business and upper management
Qualifications
Education and Experience:
  • PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 1 year of relevant professional experience
OR
  • Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 3 years of relevant professional experience
• Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
• Expert programmer in two or more of the following: Python, R, SAS, MATLAB, SQL
• Excellent written, verbal, and presentation skills
• Experience in elasticity estimation and pricing is a definite plus
Kaizen Analytix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.
 

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