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Statistical Inference Jobs (NOW HIRING)

Droisys

Data Scientist

Fort George G Meade, MD · On-site

The ideal candidate will be responsible for developing and applying probability models, statistical inference, simulations, optimization, data analysis, data visualization, and mathematical models to ...

BridgeBio Pharma

Senior Statistical Geneticist

$185K - $230K/yr

Working independently in a dynamic, data-driven environment, you will leverage methods from multiple disciplines, including statistical inference, machine learning, and simulation frameworks, to ...

Medtronic

Principal Statistician - PVH

Moundsview, MN · On-site +1

Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies ...

Medtronic

Principal Statistician - PVH

Moundsview, MN · On-site +1

Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies ...

Medtronic

Principal Statistician - PVH

Moundsview, MN · On-site +1

Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies ...

Saic

Data Science, AI, Statistical Modeling

Chantilly, VA · On-site

$160K - $200K/yr

Perform rigorous exploratory data analysis (EDA) and statistical inference to identify patterns, trends, drivers, and causal relationships * Design and analyze A/B tests or other experiments to ...

New

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis * Must have experience using libraries like Tensorflow and Pytorch * Must ...

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Statistical Inference information

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$14

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$80

How much do statistical inference jobs pay per hour?

As of Sep 13, 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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Statistical Inference jobs near you
Infographic showing various Statistical Inference job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 86% Full Time, 10% Part Time, and 1% 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.

Senior Applied Mathematician

Fairborn, OH • On-site

Altamira Technologies Corp.
Software Development • 201 - 500 employees
Learn more about Altamira Technologies Corp.external

$82K - $101K/yr

Full-time

Posted 12 days ago

Job description

Description
Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.
Altamira Technologies is seeking a Senior Applied Mathematician to support implementation of statistical learning and machine learning approaches, radar and electro-optical data processing, and probability theory research for U.S. Air Force and Intelligence Community missions. The successful candidate will apply advanced probability, stochastic processes, statistical inference, machine learning, and statistical learning to noisy and sparse mission data, translating complex mathematical concepts into practical algorithms and analytic tools.
This position will work closely with mission analysts, engineers, and software developers to improve change detection capabilities, characterize resident space objects, evaluate algorithm performance, and advance statistical methods used in operationally relevant applications.
Responsibilities
  • Serve as a subject matter expert in applied mathematics, probability theory, stochastic processes, statistical inference, and event processing.
  • Develop and refine probabilistic algorithms, statistical models, and hypothesis tests for feature-based change detection and mission-data analysis.
  • Support radar-data processing and change-detection research, development, integration, testing, and evaluation activities.
  • Formulate methods for resident space object characterization using noisy, sparse, or incomplete observational data.
  • Apply statistical and machine-learning techniques to identify anomalies, characterize changes, and improve analytic performance.
  • Develop and assess approaches based on the Sequential Probability Ratio Test (SPRT), statistical model fitting, moving-average methods, clustering, and related techniques, and contribute improvements to mission analytic tools and their underlying logic.
  • Design experiments, evaluate algorithm performance, interpret results, and communicate technical findings to government and contractor stakeholders.
  • Collaborate with multidisciplinary teams to translate mission needs into mathematically sound and implementable analytic solutions.
  • Document methods, assumptions, results, and recommendations in technical reports, briefings, and other program deliverables.
Required Qualifications
  • Ph.D. in Statistics, Applied Mathematics, Mathematics, Operations Research, or a closely related quantitative field.
  • Ten (10) or more years of professional experience applying advanced statistical or mathematical methods to complex scientific, engineering, defense, intelligence, or national security problems.
  • Demonstrated expertise in advanced probability theory, stochastic processes, statistical inference, hypothesis testing, and statistical model development.
  • Experience developing probabilistic algorithms or statistical learning approaches for change detection, anomaly detection, object characterization, or similarly complex analytic problems.
  • Experience analyzing noisy, sparse, high-dimensional, or otherwise challenging data and explaining complex mathematical concepts to technical and mission-focused audiences.
  • Strong written and verbal communication skills, including the ability to prepare technical documentation and present analytic results.
  • Ability to satisfy the security and access requirements established for the assigned customer and program.
Preferred Qualifications
  • Experience supporting the U.S. Air Force, Department of Defense, Intelligence Community, or other national security customers.
  • Experience supporting NASIC missions or working in a NASIC mission environment.
  • Knowledge of radar data processing, feature-based change detection, resident space object characterization, or space domain awareness applications.
  • Experience with Sequential Probability Ratio Test methods, double exponential moving averages, spline-based statistical modeling, functional data clustering, queueing theory, optimization, or the modeling and evaluation of mission analytic tools.

Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We focus on recruiting talented, self-motivated employees that find a way to get things done. Join our team of experts as we engineer national security!

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