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Remote Mathematical Statistician Jobs (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

EDETEK

Senior Statistical Programmer

Bachelor's degree in Statistics, Biostatistics, Mathematics, or a related field; Master's degree ... This is a remote position, and we are open to candidates based in the United States, Bulgaria ...

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 ... Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent

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$50.5K

$86.9K

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How much do remote mathematical statistician jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote mathematical 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 Mathematical Statisticians typically collaborate with team members and stakeholders across different locations?

Remote Mathematical Statisticians frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to communicate and work with colleagues. They often participate in regular virtual meetings to discuss statistical methodologies, share updates on data analysis, and align on project goals with cross-functional teams such as data scientists, researchers, and subject matter experts. Building clear communication channels and proactively sharing progress are essential, as remote work can sometimes make it challenging to stay aligned and receive timely feedback. Effective collaboration also involves documenting methods and findings clearly to ensure transparency and reproducibility within a distributed team.

What does a remote mathematical statistician do?

A remote mathematical statistician analyzes and interprets data using advanced mathematical and statistical techniques while working from a location outside of a traditional office. They design experiments, develop statistical models, and help organizations make data-driven decisions. Their work often involves programming, data visualization, and collaborating with teams virtually. Remote mathematical statisticians are commonly employed in sectors like government, healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Statistician, and why are they important?

To thrive as a Remote Mathematical Statistician, you need advanced knowledge of probability, statistical analysis, and a relevant degree such as mathematics, statistics, or a related field. Proficiency in statistical software like R, SAS, Python, and experience with data management tools are typically required. Strong analytical thinking, attention to detail, and excellent written communication skills help you interpret data and present complex findings clearly. These skills are critical to ensure accurate data analysis, effective remote collaboration, and insightful decision-making for organizations.

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

AspectRemote Mathematical StatisticianRemote Data Analyst
Required credentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, statistical modeling, and analysisData processing, visualization, and reporting
Employer usageResearch institutions, government agencies, healthcare, tech companiesBusiness, marketing, finance, tech companies
Search intentComparing roles involving advanced statistical modelingRoles focused on data interpretation and reporting

The Remote Mathematical Statistician primarily focuses on advanced statistical modeling and research, often requiring higher-level credentials like a master's or PhD. In contrast, a Remote Data Analyst typically handles data processing, visualization, and reporting, with a broader range of educational backgrounds. Both roles are common in tech, healthcare, and research industries, but they serve different functions within data teams.

More about Remote Mathematical Statistician jobs
What cities are hiring for Remote Mathematical Statistician jobs? Cities with the most Remote Mathematical Statistician job openings:
What are the most commonly searched types of Mathematical Statistician jobs? The most popular types of Mathematical Statistician jobs are:
What states have the most Remote Mathematical Statistician jobs? States with the most job openings for Remote Mathematical Statistician jobs include:
What job categories do people searching Remote Mathematical Statistician jobs look for? The top searched job categories for Remote Mathematical Statistician jobs are:
Remote Mathematical Statistician jobs near you
Infographic showing various Remote Mathematical Statistician job openings in the United States as of May 2026, with employment types broken down into 76% Part Time, and 24% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Senior Data Modeling Analyst - Remote

Experian

Costa Mesa, CA • On-site, Remote

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

You'll have opportunity to:

  • Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
  • Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
  • Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
  • Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies
  • Translate findings into applicable business recommendations for partners
  • Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
  • Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals.
  • Communicate with and deliver presentations to end-users on analysis results.
  • Produce implementation plans and participate in audits to help implement statistical models and other decision tools.
  • Help develop analytic and data products and services, and the enhancement of current processes and offerings.
Qualifications
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
  • Proficiency in Python (required) and SQL, with experience building scalable pipelines
  • Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
  • Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
  • Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
  • Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
  • Experience solving complex and unique problems

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/