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Online Bayesian Statistics Jobs (NOW HIRING)

Staff AI Scientist

Oakland, CA

$209.50K - $283.50K/yr

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

Staff AI Scientist

Manhattan, NY

$209.50K - $283.50K/yr

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

Staff AI Scientist

Mountain View, CA · On-site

$209.50K - $283.50K/yr

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

Staff AI Scientist

San Diego, CA

$209.50K - $283.50K/yr

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

Staff AI Scientist

San Diego, CA · On-site

$209.50K - $283.50K/yr

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

Staff AI Scientist

Oakland, CA

$209.50K - $283.50K/yr

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

... Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and online optimization ...

... Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and online optimization ...

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

... Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$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 ...

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

Tennis Data Scientist

San Francisco, CA · On-site

$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 ...

... Bayesian statistics and machine learning. Exemplary software engineering skills are also required ... If you are unable to use our online application process due to an impairment or disability, please ...

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Online Bayesian Statistics information

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$165K

$243.5K

How much do online bayesian statistics jobs pay per year?

As of Jun 1, 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.

More about Online Bayesian Statistics jobs
What cities are hiring for Online Bayesian Statistics jobs? Cities with the most Online 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 Online Bayesian Statistics jobs? States with the most job openings for Online Bayesian Statistics jobs include:
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.
Staff AI Scientist

$209.50K - $283.50K/yr

Full-time

Posted 13 days ago


Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

64th of 184 rated software companies


Job description

Overview

Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team.

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. 


Responsibilities

  • Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
  • Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
  • Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
  • Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization. 
  • Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.  
  • Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
  • Communicates with partners to ensure successful delivery and integration of DS solutions.  
  • Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems. 



Qualifications

  • 4+ years of industry experience with AI science
  • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
  • 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
  • Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
  • Proficient  in NLP techniques, Explainable AI, and ML frameworks. 
  • Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
  • Efficient in SQL, Hive, SparkSQL, etc.
  • Comfortable working in a Linux environment
  • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
  • Quick learner, adaptable, with the ability to work independently in a fast-paced environment
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area, California: $209,500 - 283,500 Southern, California: $ 192,500 - 260,000 New York: $ 209,500 - $283,500 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $209500 - $283500
New York $209500- $283500
Oakland, CA $209500- $283500
San Diego, CA $192500- $260000

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