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Internship Bayesian Statistics Jobs (NOW HIRING)

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 ...

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 ...

... Bayesian methods, causal inference, longitudinal modelling, and machine learning. * Develop and ... Mentor and develop statisticians, scientists, contractors, and interns, providing scientific ...

Showing results 21-40

Internship Bayesian Statistics information

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How much do internship bayesian statistics jobs pay per hour?

As of Sep 13, 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.

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Infographic showing various Internship Bayesian Statistics job openings in the United States as of September 2026, with employment types broken down into 16% Internship, 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

2027 Summer Intern, MS/PhD, Data Science - Commercialization Testing

San Francisco, CA

Waymo
Internet and IT • 1 - 5K employees

$70/hr

Full-time

Posted 12 days ago


Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results.

Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

  • Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results.
  • Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle behavior.
  • Collaborate with Test Engineers to design experimental procedures on closed courses and simulation environments.
  • Extract, process, and analyze large-scale, high-dimensional datasets from vehicle logs and depot operations using Python and SQL.
  • Partner with Systems Engineering, Software Engineering, and Product teams to determine key performance characteristics for model coverage.

You have:

  • Enrolled in a graduate program (Master's or PhD) in Data Science, Statistics, Operations Research, Civil Engineering (with a focus on traffic/mobility analytics), or a highly quantitative field.
  • Strong foundation in predictive analytics, Bayesian modeling, and statistical inference.
  • Proficiency in writing production-quality Python.
  • Strong SQL skills with experience querying and synthesizing data from large-scale databases.
  • Strong communication skills to present complex quantitative results and statistical limitations clearly to non-technical stakeholders.

We prefer:

  • Academic coursework or research experience in traffic flow theory, intelligent transportation systems, fleet routing, or urban mobility.
  • Familiarity with autonomous vehicle technology, simulation-based testing (SIL/HIL), or systems engineering principles.
  • Experience with survival analysis, probability modeling, or extreme value theory applied to safety-critical systems.
  • Comfort navigating highly ambiguous, unstructured problems in a fast-paced R&D environment.

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.

Hourly Masters Pay $70-$70 USD

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay $85-$85 USD