1

Internship Bayesian Statistics Jobs (NOW HIRING)

Statistician Intern

Boston, MA · On-site +1

$54K - $66K/yr

... Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of statistics ...

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

... Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of statistics ...

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

... Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of statistics ...

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Job Summary Are you a statistician who wants to see your Bayesian models protect national security ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

Senior Statistician

New York, NY · On-site

$95K - $105K/yr

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... There may also be opportunities to line manage and mentor our Statistician Interns. Career ...

Senior Statistician

Boston, MA · On-site

$95K - $105K/yr

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... There may also be opportunities to line manage and mentor our Statistician Interns. Career ...

Senior Statistician

Boston, MA · On-site

$95K - $105K/yr

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... There may also be opportunities to line manage and mentor our Statistician Interns. Career ...

Senior Statistician

New York, NY · On-site

$95K - $105K/yr

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... There may also be opportunities to line manage and mentor our Statistician Interns. Career ...

Senior Statistician

Boston, MA · On-site

$95K - $105K/yr

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... There may also be opportunities to line manage and mentor our Statistician Interns. Career ...

next page

Showing results 1-20

Internship Bayesian Statistics information

See salary details

$9

$17

$23

How much do internship bayesian statistics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship bayesian statistics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Bayesian Statistics vs Data Analyst?

AspectInternship Bayesian StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldsBachelor's degree in statistics, data science, or related fields
Work EnvironmentResearch-focused, often in academia, tech, or healthcare settingsBusiness, finance, marketing, or tech industries
Employer & Industry UsageInternship roles in research projects, academia, or industry R&DFull-time or part-time roles in various industries
Comparison Search IntentUnderstanding entry-level research roles in Bayesian methodsAnalyzing data to inform business decisions

Internship Bayesian Statistics focuses on entry-level research and applying Bayesian methods in academic or research settings, often requiring advanced statistical knowledge. Data Analysts typically work on interpreting data to support business strategies, with a broader scope and different industry applications. Both roles may require similar educational backgrounds but differ in work focus and environment.

More about Internship Bayesian Statistics jobs

What cities are hiring for Internship Bayesian Statistics jobs?

Cities with the most Internship Bayesian Statistics job openings:

What are the most commonly searched types of Bayesian Statistics jobs?

The most popular types of Bayesian Statistics jobs are:

What states have the most Internship Bayesian Statistics jobs?

States with the most job openings for Internship Bayesian Statistics jobs include:

Infographic showing various Internship Bayesian Statistics job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Business and Marketing Data Scientist

Socket.dev

Mountain View, CA • On-site

$177.55 - $198/hr

Other

Posted 16 days ago


Job description

MINIMUM QUALIFICATIONS:

  • PhD degree in Economics, Statistics, Biostatistics or a related field, and experience in the job offered or in a Business and Marketing Data Scientist-related occupation.

  • Position requires experience in the following: Causal inference; Bayesian statistics; Machine Learning; R or Python; and SQL.


ABOUT THE JOB:

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.


As a Business Data Scientist on the YouTube Business Go-To-Market Impact Measurement team, you will work closely with business leaders to help shape the future of YouTube. You will leverage rigorous techniques from causal inference, advanced statistical modeling, and machine learning. It will be your responsibility to determine the best approach for solving problems and to communicate clearly with decision-makers who may or may not have a strong technical background.


We are looking for a detail-oriented problem solver with broad knowledge of causal inference, Bayesian statistics, and machine learning. We use a large set of methodologies, ranging from experimental to observational techniques, touching on a broad range of problems from different functional and product areas. The ideal candidate is comfortable wearing multiple hats and is passionate about conducting causal studies and helping stakeholders implement data-driven decisions. Creative problem-solving and stakeholder management skills are critical.


Given the nature of the position, someone who loves to learn new things will be successful. Effective data scientists on our team keep up with advances in the causal inference literature. When existing methodologies are not well suited for the problem at hand, you will be encouraged to develop new methods in collaboration with your teammates and work with our summer interns on research projects. We also attend relevant conferences and organize internal events to keep our toolkit updated and to educate the broader Google community.


The US base salary range for this full-time position is $177,550 - $198,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google https://www.google.com/about/careers/applications/benefits/.


Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.


RESPONSIBILITIES:

  • Design and execute causal studies to address critical business questions.

  • Leverage advanced statistical models to find business insights in experimental and observational data.

  • Present and communicate actionable insights and recommendations to executives and cross-functional partners.

  • Serve as a peer reviewer and consultant for causal studies across the organization.

  • Stay current with the latest advancements in causal inference.

#J-18808-Ljbffr