Develop and evaluate statistical models for complex defense applications, including uncertainty quantification, inference, forecasting, and decision support. * Apply statistical reasoning for data ...
Develop and evaluate statistical models for complex defense applications, including uncertainty quantification, inference, forecasting, and decision support. * Apply statistical reasoning for data ...
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 ...
Quick apply
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 ...
Statistical Scientist (Ph.D.)
Farmington Hills, MI · On-site
$85 - $110/hr
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, manufacturing ...
Statistical Scientist (Ph.D.)
Farmington Hills, MI · On-site
$85 - $110/hr
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, manufacturing ...
Applied Scientist
Seattle, WA · On-site
$120 - $140/hr
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 ...
Applied Scientist
Seattle, WA · On-site
$120 - $140/hr
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 ...
Senior Data Scientist
Fort Lauderdale, FL · On-site
In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user ...
Senior Data Scientist
Fort Lauderdale, FL · On-site
In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user ...
In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user ...
Quick apply
In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133K - $150K/yr
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133K - $150K/yr
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Predoctoral Researcher
Cambridge, MA · On-site
Predoctoral Researchers will engage directly in the research process, and implement complete project pipelines covering data processing, machine learning, and statistical inference. Predoctoral ...
Predoctoral Researcher
Cambridge, MA · On-site
Predoctoral Researchers will engage directly in the research process, and implement complete project pipelines covering data processing, machine learning, and statistical inference. Predoctoral ...
Applied Scientist
Seattle, WA · On-site
$120 - $140/hr
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 ...
Applied Scientist
Seattle, WA · On-site
$120 - $140/hr
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 ...
Engineering, Social Science, or Statistics) • Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis • Must have experience ...
Engineering, Social Science, or Statistics) • Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis • Must have experience ...
Sr Principal Statistician
$87K - $108K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
New
Sr Principal Statistician
$87K - $108K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
New
Sr Principal Statistician
$102K - $125K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
New
Sr Principal Statistician
$102K - $125K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
New
Applied Scientist
Seattle, WA · On-site
$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 ...
Applied Scientist
Seattle, WA · On-site
$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 ...
Senior Principal Statistician
$87K - $108K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
Senior Principal Statistician
$87K - $108K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133 - $150/hr
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Statistical Scientist (Ph.D.)
Bellevue, WA · On-site
$133 - $150/hr
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, health ...
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, manufacturing ...
Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling * Applying risk analysis methodologies to problems in engineering, manufacturing ...
Senior Principal Statistician
$102K - $125K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
Senior Principal Statistician
$102K - $125K/yr
... statistical inference, including hypothesis testing and deriving estimates, parametric and non-parametric models and techniques, principles of sample size calculations for comparing two arms ...
Engineering, Social Science, or Statistics) • Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis • Must have experience ...
Engineering, Social Science, or Statistics) • Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis • Must have experience ...
Statistical Inference information
See salary details
$14.18 - $20.19
3% of jobs
$20.19 - $26.20
4% of jobs
$26.20 - $32.21
6% of jobs
$32.21 - $38.22
8% of jobs
$40.58 is the 25th percentile. Wages below this are outliers.
$38.22 - $44.23
7% of jobs
$44.23 - $50.24
8% of jobs
$50.24 - $56.25
9% of jobs
The median wage is $57.75 / hr.
$56.25 - $62.26
11% of jobs
$62.26 - $68.27
13% of jobs
$69.97 is the 75th percentile. Wages above this are outliers.
$68.27 - $74.28
16% of jobs
$74.28 - $80.29
14% of jobs
$14
$56
$80
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?
| Aspect | Statistical Inference | Data Analyst |
|---|---|---|
| Primary Focus | Drawing conclusions from data samples | Analyzing and interpreting data to inform business decisions |
| Skills & Certifications | Statistics, probability, hypothesis testing, certifications like SAS or R | Data visualization, SQL, Excel, often with certifications like Microsoft Excel or Tableau |
| Work Environment | Research institutions, academia, data science teams | Business, marketing, finance departments |
| Usage in Industry | Designing experiments, making inferences about populations | Reporting 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.
More about Statistical Inference jobs
What job categories do people searching Statistical Inference jobs look for?
The top searched job categories for Statistical Inference jobs are:
2026 PhD Graduate - Statistics and Data Science
Laurel, MD • On-site
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 9 days ago
Johns Hopkins Applied Physics Laboratory rating
9.6
Based on 8 frontline employees who took The Breakroom Quiz
2nd of 74 rated research
Job description
Description
Do you enjoy exploring and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to grow your knowledge and improve your skills?
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in statistics to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team, you will...
Qualifications
You meet our minimum qualifications for the job if you...
You will go above and beyond our minimum requirements if you...
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
Do you enjoy exploring and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to grow your knowledge and improve your skills?
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in statistics to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team, you will...
- Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
- Develop and evaluate statistical models for complex defense applications, including uncertainty quantification, inference, forecasting, and decision support.
- Apply statistical reasoning for data-driven studies, selecting appropriate methods (e.g., Bayesian or frequentist approaches) based on the problem.
- Quantify and communicate uncertainty, assumptions, and limitations to support sound decision-making in complex, real-world setting.
- Use internal funding opportunities to shape the direction of future research.
- Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.
Qualifications
You meet our minimum qualifications for the job if you...
- Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field.
- Demonstrate strong interpersonal skills and the ability to work independently and on a team.
- Have strong foundations in statistical inference, probability, statistical modeling, and experimental design.
- Have experience using scientific programming tools such as Python, R, or similar languages for quantitative analysis.
- Have experience investigating and adapting modern statistical and computational methods to address emerging analysis challenges in sparse, noisy, or high-dimensional data setting.
- Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing...
- Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You will go above and beyond our minimum requirements if you...
- Have experience in project management or leading technical teams.
- Have experience in writing technical proposals, particularly to government research projects.
- Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings.
- Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields.
- Have experience using probabilistic programming frameworks such as Stan, PyMC, or similar tools.
- Have research or professional experience developing reproducible analytical workflows, computational research tools, or statistical methodologies for complex quantitative problems.
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
What Johns Hopkins Applied Physics Laboratory employees say
Pay
Hours and flexibility
Workplace
Get the full story on Breakroom
About Johns Hopkins Applied Physics Laboratory
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Laurel, MA, US