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Online Bayesian Statistics Jobs (NOW HIRING)

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Strive to constantly improve model performance using insights from rigorous offline and online ... Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Strive to constantly improve model performance using insights from rigorous offline and online ... Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

Varsity Tutors

Statistics Graduate Level Tutor

NJ · Remote

$40/hr

... online Statistics Graduate Level tutors nationally. As a tutor on the Varsity Tutors Platform, you ... Bayesian inference, regression analysis, multivariate methods, experimental design, and ...

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How much do online bayesian statistics jobs pay per year?

As of May 30, 2026, the average yearly pay for online bayesian statistics in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectOnline Bayesian StatisticsData Analyst
Required CredentialsAdvanced degrees in statistics, mathematics, or data science; knowledge of Bayesian methodsBachelor's or master's in statistics, data science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech, finance, or healthcare sectors; involves statistical modeling and programmingBusiness environments; analyzing data to inform decisions; using Excel, SQL, and visualization tools
Industry UsageUsed in research, machine learning, and predictive modelingApplied in marketing, finance, healthcare, and consulting for reporting and insights

Online Bayesian Statistics professionals focus on advanced statistical modeling using Bayesian methods, often in research or technical roles. Data Analysts interpret data to support business decisions, typically with less emphasis on complex statistical theory. While both roles require analytical skills, Online Bayesian Statistics positions demand deeper expertise in probabilistic modeling and programming.

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Online Bayesian Statistics jobs near you
Infographic showing various Online Bayesian Statistics job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 64% Full Time, 32% Part Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Tennis Data Scientist

Tennis Data Scientist

Swish Analytics

San Francisco, CA

$135K - $190K/yr

Full-time

Posted 4 days ago

Job description

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

Swish Analytics is looking for a Tennis Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.

Duties:

  • Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.

  • Develop contextualized feature sets using sports specific domain knowledge.

  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.

  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.

  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.

  • Adhere to software engineering best practices and contribute to shared code repositories.

  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:

  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

  • Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ years

  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods

  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting

  • Experience with relational SQL & Python

  • Experience with source control tools such as GitHub and related CI/CD processes

  • Experience working in AWS environments etc

  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions

  • Excellent communication skills to both technical and non-technical audiences

Base salary: $135,000 - $190,000

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.