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Statistical Inference Jobs (NOW HIRING)

Guidehouse

Biostatistician Lead

San Antonio, TX · On-site

Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference. * Experience in applying ...

Guidehouse

Biostatistician Lead

Atlanta, GA

Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference. * Experience in applying ...

Guidehouse

Biostatistician Lead

Huntsville, AL

Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference. * Experience in applying ...

Guidehouse

Biostatistician Lead

San Antonio, TX

Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference. * Experience in applying ...

Grid

Staff Applied Scientist

Seattle, WA

$150K - $220K/yr

As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning ...

Guidehouse

Biostatistician Lead

Charlotte, NC

Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference. * Experience in applying ...

Guidehouse

Biostatistician Lead

Beavercreek, OH · On-site

Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference. * Experience in applying ...

Grid

Staff Applied Scientist

Seattle, WA

$150K - $220K/yr

As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning ...

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning ...

Guidehouse

Biostatistician Lead

Houston, TX · On-site

Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference. * Experience in applying ...

Alutiiq

Operations Research Analyst

El Segundo, CA

$215K - $250K/yr

... statistical inference, decision analysis, agent-based modeling) Strong written and verbal communication; demonstrated ability to brief senior Government audiences Preferred Qualifications Master's or ...

WorldQuant

AI Scientist

New York, NY · Hybrid

$150K - $200K/yr

Ability to run experiments and perform statistical inference. * Experience with software development tools and practices, such as version control (e.g., Git), continuous integration, and testing ...

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Statistical Inference information

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How much do statistical inference jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for statistical inference in the United States is $56.31, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $71.88 per hour, depending on experience, location, and employer.

What is statistical inference?

Statistical inference is the process of using data analysis to deduce properties of an underlying probability distribution. It involves making predictions or generalizations about a population based on a sample. Common methods include hypothesis testing, confidence intervals, and estimation. These techniques help researchers and analysts draw meaningful conclusions from limited data, accounting for randomness and uncertainty.

What are some common challenges faced by professionals working in statistical inference roles?

Professionals in statistical inference often face challenges such as ensuring data quality, dealing with incomplete or messy datasets, and selecting appropriate models for analysis. Interpreting results accurately and communicating complex statistical findings to non-technical stakeholders can also be demanding. Additionally, keeping up with advances in statistical methodologies and software tools is essential for continued professional growth in this field.

What are the key skills and qualifications needed to thrive as a statistical inference specialist, and why are they important?

To thrive as a Statistical Inference Specialist, you need strong mathematical and statistical knowledge, a relevant degree (such as statistics, mathematics, or data science), and experience with probability theory and hypothesis testing. Familiarity with statistical software like R, Python (with libraries such as SciPy and statsmodels), and tools like SAS or SPSS is typically required. Critical thinking, problem-solving, and clear communication skills enable you to interpret data accurately and convey findings to various stakeholders. These skills and qualities are crucial for drawing valid conclusions from data, supporting evidence-based decision-making, and ensuring the integrity of research or business analyses.

What is the difference between Statistical Inference vs Data Analyst?

AspectStatistical InferenceData Analyst
Primary FocusDrawing conclusions from data samplesAnalyzing and interpreting data to inform business decisions
Skills & CertificationsStatistics, probability, hypothesis testing, certifications like SAS or RData visualization, SQL, Excel, often with certifications like Microsoft Excel or Tableau
Work EnvironmentResearch institutions, academia, data science teamsBusiness, marketing, finance departments
Usage in IndustryDesigning experiments, making inferences about populationsReporting insights, creating dashboards, data cleaning

While both roles involve working with data, Statistical Inference focuses on making conclusions from data samples using statistical methods, often in research settings. Data Analysts interpret data to support business decisions, emphasizing data visualization and reporting. Understanding these differences helps clarify career paths and job expectations in data-related fields.

What does statistical inference do?

Statistical inference is a key part of the statistical inference job, involving the process of drawing conclusions about a population based on sample data. It includes techniques such as hypothesis testing, estimation, and confidence intervals to make data-driven decisions and predictions. Proficiency in statistical software and understanding of probability are essential for performing these tasks effectively.
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What job categories do people searching Statistical Inference jobs look for?

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Statistical Inference jobs near you
Infographic showing various Statistical Inference job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $117,120 per year, or $56.3 per hour.

Statistical Scientist (Ph.D.)

Exponent Inc.

Farmington Hills, MI

Full-time

Re-posted 10 days ago

Job description

About Exponent

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients' most profoundly unique, unprecedented, and urgent challenges.  

We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.  

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you'll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! 

Key statistics: 

  • 950+ Consultants 
  • 640+ Ph.D.s 
  • 90+ Disciplines 
  • 30+ Offices globally 
Our Opportunity

We are currently seeking a Statistical Scientist for our Data Sciences Practice in Farmington Hills, MI. In this role, you will work as part of a team to help our clients solve challenging technical problems which are often urgent, high profile, and multi-disciplinary. You will be involved in a variety of projects in application areas including manufacturing, construction, automobiles, health, and consumer products. You will have the opportunity to define and shape your individual consulting practice based on your skills and interests.

You will be responsible for
  • Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling
  • Applying risk analysis methodologies to problems in engineering, manufacturing, health, finance, and the environment
  • Providing support to internal and external clients when planning data collection, including framing the problem, experimental design, sample size calculations, and identifying appropriate populations and sampling strategies
  • Developing reports and visualizations to address clients' scientific and engineering problems and to support litigation
You will have the following skills and qualifications
  • Ph.D. in Statistics or Applied Mathematics
  • Significant research in theoretical or applied statistical methods
  • Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
  • Experience or capabilities in such subject areas as statistical data mining, analysis of reliability and life data, sampling plan development, experimental design, or quality control/improvement
  • Minimum of 2 years' experience with one or more statistical software packages (e.g., R, SAS, Python)
  • Ability to work independently and in multidisciplinary teams
  • Programming skills (e.g., R, C++, SQL, Visual Basic, Python), software or dashboard development experience are strongly preferred

Applicants are encouraged to submit a CV with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].

Life @ Exponent

To learn more about life at Exponent and our impact, please visit the following links:

https://www.exponent.com/careers/life-exponent

https://www.exponent.com/company/our-impact

Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.

Work Environment

At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite

Benefits you will enjoy

Access benefits information on our Life@Exponent page:  https://www.exponent.com/careers/life-exponent 

 Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. 

 If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com. 

Job LocationsUS-MI-Farmington HillsEmployment Type: FULL_TIME

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