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Remote Bayesian Jobs (NOW HIRING)

Senior Data Scientist

Herndon, VA ยท On-site +1

$160K - $220K/yr

Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

... Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Bayesian methods #LI-Remote #LI-NITINMAHAJAN IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare ...

Familiarity with advanced statistical methods, such as Bayesian modeling or machine learning applied to pricing, is considered an advantage. Benefits * 100% remote-first role, with the flexibility to ...

Decision Scientist II, Mobile

Santa Monica, CA ยท Remote

$130K - $155K/yr

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Lead Quantitative UX Researcher

Atlanta, GA ยท Remote

$150K - $185K/yr

... Bayesian statistics) on large, unstructured datasets, alongside the ability to educate non-experts ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Decision Scientist II, Mobile

Santa Monica, CA ยท Remote

$130K - $155K/yr

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Decision Scientist II, Mobile

Santa Monica, CA ยท Remote

$130K - $155K/yr

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Decision Scientist II, Mobile

Santa Monica, CA ยท Remote

$130K - $155K/yr

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Bayesian methods #LI-Remote #LI-NITINMAHAJAN IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare ...

We're completely remote friendly. Team Description: The Marketing Science team at Reddit leverages ... Experience with Bayesian structural time series or causal inference libraries. * Previous ...

Decision Scientist II, Mobile

Santa Monica, CA ยท Remote

$130K - $155K/yr

... Bayesian inference * Experience in product analytics with a focus on mobile apps or building zero ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Remote-first culture-work from anywhere in the U.S.. * Time Off: Flexible Paid Time Off (PTO ... and Bayesian average. After the calculation, a TrustScore is then visualized into a star rating ...

Working knowledge of Bayesian methodology is preferred. * Experience with regulatory submissions ... Remote working environment with frequent in-person meetings to address complex problems and build ...

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Remote Bayesian information

See salary details

$83.5K

$127K

$171K

How much do remote bayesian jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote bayesian in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Bayesian, and why are they important?

To thrive as a Remote Bayesian, you need strong statistical knowledge, expertise in Bayesian inference, and a background in mathematics or data science, often supported by an advanced degree. Familiarity with programming languages like Python or R, Bayesian software such as Stan or PyMC, and experience with remote collaboration tools are typically required. Critical thinking, problem-solving, and clear communication are essential soft skills for interpreting results and working with distributed teams. These abilities are vital for delivering accurate, actionable insights in a remote environment where clear analysis and collaboration drive project success.

What is the difference between Remote Bayesian vs Remote Data Scientist?

AspectRemote BayesianRemote Data Scientist
Required CredentialsBackground in statistics, Bayesian methods, programming (Python/R)Statistics, computer science, or related degree; programming skills
Work EnvironmentResearch-focused, analytical tasks, often in tech or financeData analysis, modeling, business insights across industries
Industry UsageResearch institutions, AI, machine learning, financeTech companies, consulting, finance, healthcare

Remote Bayesian specialists focus on Bayesian statistical methods and probabilistic modeling, often in research or AI contexts. Remote Data Scientists have broader roles in data analysis and modeling across various industries. While both roles require strong analytical skills and programming, Remote Bayesian roles emphasize Bayesian techniques, whereas Remote Data Scientist roles encompass a wider range of data analysis tasks.

What is a Remote Bayesian?

A Remote Bayesian is a professional who specializes in Bayesian statistics and probabilistic modeling while working remotely, often in fields like data science, machine learning, or research. They use Bayesian methods to update probabilities and make predictions based on data, collaborating with teams through digital communication tools. Remote Bayesians may work for tech companies, research institutions, or as independent consultants, applying their expertise to solve complex problems without being tied to a physical office location.

How do Remote Bayesian professionals typically collaborate with cross-functional teams given the virtual nature of their work?

Remote Bayesian professionals often work closely with data scientists, engineers, and decision-makers through virtual collaboration tools such as video conferencing, shared code repositories, and project management platforms. Clear communication is key, as they must explain complex probabilistic models and inferences to both technical and non-technical stakeholders. Regular check-ins and documentation help ensure alignment on project goals, data requirements, and model outcomes. This collaborative dynamic fosters an environment where insights from Bayesian analysis can directly inform business or research decisions, despite the physical distance.
More about Remote Bayesian jobs
What cities are hiring for Remote Bayesian jobs? Cities with the most Remote Bayesian job openings:
What are the most commonly searched types of Bayesian jobs? The most popular types of Bayesian jobs are:
What states have the most Remote Bayesian jobs? States with the most job openings for Remote Bayesian jobs include:
Infographic showing various Remote Bayesian job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 7% In-person, and 93% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Sr. Data Scientist, Advanced Analytics and Insights

Huntington

Columbus, OH โ€ข On-site, Remote

Other

Posted 20 hours ago


Job description

Description Summary: The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes. Duties and Responsibilities: Performs advanced analytics methods to extract value from business data. Performs large-scale experimentation and build data-driven models to answer business questions.

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Determines requirements that will be used to train and evolve deep learning models and algorithms. Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.

Influences product teams through presentation of data-based recommendations. Evangelizes best practices to analytics and products teams. Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.

Performs other duties as assigned. Basic Qualifications: Master's Degree in computer science, statistics, economics or related fields 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Strong experience with R/RStudio, Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement

We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter.

Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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