... Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies ...
... Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies ...
Senior Biostatistician
Santa Clara, CA · On-site
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Senior Biostatistician
Santa Clara, CA · On-site
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Senior Forecasting Business Analyst
Omaha, NE · Hybrid
$95K - $158K/yr
Preferred Qualifications: MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or Economics Certification in data science or mathematical fields. Experience with Workforce ...
Senior Forecasting Business Analyst
Omaha, NE · Hybrid
$95K - $158K/yr
Preferred Qualifications: MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or Economics Certification in data science or mathematical fields. Experience with Workforce ...
Senior Forecasting Business Analyst
Omaha, NE · On-site
$95K - $158K/yr
Preferred Qualifications: • MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or Economics • Certification in data science or mathematical fields. • Experience with ...
Senior Forecasting Business Analyst
Omaha, NE · On-site
$95K - $158K/yr
Preferred Qualifications: • MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or Economics • Certification in data science or mathematical fields. • Experience with ...
Senior Biostatistician
Santa Clara, CA · On-site
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Senior Biostatistician
Santa Clara, CA · On-site
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Senior Biostatistician
Maple Grove, MN · On-site
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Senior Biostatistician
Maple Grove, MN · On-site
Masters in statistics or biostatistics with a minimum of 5 years of experience or Ph.D. in statistics or biostatistics with 3 years of experience. * Able to write/describe statistical models of ...
Mathematics Adjunct Instructor
$88.03 - $99.96/hr
Minimum Qualifications Masters Degree in mathematics or applied mathematics OR Bachelors in either of the above AND Masters in statistics, physics, or mathematics education AND a minimum of 12 ...
Mathematics Adjunct Instructor
$88.03 - $99.96/hr
Minimum Qualifications Masters Degree in mathematics or applied mathematics OR Bachelors in either of the above AND Masters in statistics, physics, or mathematics education AND a minimum of 12 ...
Math and Statistics Term Faculty Position
$52K - $56K/yr
Qualifications Necessary Qualifications include a masters (9404) or Ph.D. (9403T) in statistics, mathematics, or related field awarded by the time of appointment from a regionally accredited ...
Math and Statistics Term Faculty Position
$52K - $56K/yr
Qualifications Necessary Qualifications include a masters (9404) or Ph.D. (9403T) in statistics, mathematics, or related field awarded by the time of appointment from a regionally accredited ...
Statistician
Austin, TX · On-site
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Austin, TX · On-site
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Philadelphia, PA · On-site +1
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Philadelphia, PA · On-site +1
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Houston, TX · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Quick apply
Statistician
Houston, TX · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Philadelphia, PA · On-site
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Philadelphia, PA · On-site
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Philadelphia, PA · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Quick apply
Statistician
Philadelphia, PA · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Boston, MA · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Quick apply
Statistician
Boston, MA · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Austin, TX · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Quick apply
Statistician
Austin, TX · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Raleigh, NC · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Quick apply
Statistician
Raleigh, NC · Remote
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Masters in Statistics, Mathematics, Economics, Public Health, Computer or Systems Engineering or related field that further developed your expertise in the business of health and healthcare. ...
Masters in Statistics, Mathematics, Economics, Public Health, Computer or Systems Engineering or related field that further developed your expertise in the business of health and healthcare. ...
Masters in Statistics, Mathematics, Economics, Public Health, Computer or Systems Engineering or related field that further developed your expertise in the business of health and healthcare. ...
Masters in Statistics, Mathematics, Economics, Public Health, Computer or Systems Engineering or related field that further developed your expertise in the business of health and healthcare. ...
Statistician
Houston, TX · On-site
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Statistician
Houston, TX · On-site
A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.
Masters In Statistics information
See salary details
$40.5K - $47.5K
0% of jobs
$47.5K - $54.4K
0% of jobs
$59.1K is the 25th percentile. Wages below this are outliers.
$54.4K - $61.4K
37% of jobs
The median wage is $67.2K / yr.
$61.4K - $68.3K
15% of jobs
$68.3K - $75.3K
12% of jobs
$75.3K - $82.2K
0% of jobs
$82.2K - $89.2K
0% of jobs
$89.2K - $96.1K
0% of jobs
$96.1K - $103.1K
0% of jobs
$103.1K - $110K
0% of jobs
$112.1K is the 75th percentile. Wages above this are outliers.
$110K - $117K
35% of jobs
$40.5K
$83.7K
$117K
How much do masters in statistics jobs pay per year?
As of May 30, 2026, the average yearly pay for masters in statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Statistician, and why are they important?
To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.
What types of roles and industries typically hire professionals with a Master's in Statistics, and how do these roles differ in daily responsibilities?
A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.
What can you do with a Master's in Statistics?
A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.
Is a statistics master's worth it?
A master's in statistics can enhance job prospects for roles such as data analyst, statistician, or data scientist by providing advanced analytical skills and knowledge of tools like R or Python. It often leads to higher earning potential and more specialized positions, but the value depends on industry demand and individual career goals.
What is the difference between Masters In Statistics vs Data Analyst?
| Aspect | Masters In Statistics | Data Analyst |
|---|---|---|
| Required Credentials | Master's degree in Statistics or related field | Bachelor's or Master's degree in related fields like Business, Economics, or Computer Science |
| Work Environment | Research, academia, data science teams in various industries | Business, finance, marketing departments, often in corporate settings |
| Industry Usage | Used in research, academia, specialized data science roles | Applied in business decision-making, reporting, and operational analysis |
Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.
More about Masters In Statistics jobs
What cities are hiring for Masters In Statistics jobs? Cities with the most Masters In Statistics job openings:
What states have the most Masters In Statistics jobs? States with the most job openings for Masters In Statistics jobs include:
What job categories do people searching Masters In Statistics jobs look for? The top searched job categories for Masters In Statistics jobs are:
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976