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Remote Bayesian Jobs (NOW HIRING)

Senior Algorithms Engineer

Cary, NC ยท On-site +1

$120K - $158K/yr

Bayesian inference experience * Optimization exposure * A track record of developing mathematical ... Fully remote within the United States Additional Information Please read the following before ...

Modeling Scientist

Houston, TX ยท On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Develop hierarchical and Bayesian approaches to support distributed and iterative model ...

Senior Algorithms Engineer

Cary, NC ยท On-site +1

$120K - $158K/yr

Bayesian inference experience * Optimization exposure * A track record of developing mathematical ... Fully remote within the United States Additional Information Please read the following before ...

Tennis Data Scientist

San Francisco, CA ยท On-site +1

$135K - $190K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics ...

Senior Data Scientist

Boston, MA ยท On-site +1

$140K - $190K/yr

Create and refine predictive models (Bayesian inference, regression analysis, time-series ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Senior Data Scientist

$140K - $190K/yr

Create and refine predictive models (Bayesian inference, regression analysis, time-series ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Experience with Bayesian modeling methods * Experience with Marketing Mix Models and Multi-Touch ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

Research Scientist

Baltimore, MD ยท Remote

$120K - $150K/yr

Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ... Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and ...

Research Scientist

Baltimore, MD ยท On-site +1

$120K - $150K/yr

Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ... Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and ...

Experience with Bayesian statistics a plus * Experience with censored datasets a plus * Master ... Remote work options available. Company Overview Wood is a global leader in engineering and ...

Machine Learning Engineer

Foster, OR ยท On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... filtering, Bayesian estimation, nonlinear optimization, or stochastic methods. We provide ...

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 ...

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.

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Remote Bayesian information

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$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.
Senior Algorithms Engineer

Senior Algorithms Engineer

Keen Decision Systems

Cary, NC โ€ข On-site, Remote

$120K - $158K/yr

Full-time

Posted 3 days ago

New


Job description

Company Description

Keen Decision Systems provides an AI-driven marketing platform that empowers marketing leaders and finance teams to make data-driven, future-focused business decisions. Our platform connects marketing investments to P&L performance, transforming marketing into a profitability driver.

Keen is different. As a Inc. 5000 Fastest-Growing Private Company and a Triangle Business Journal Top 10 Best Place to Work, we're growing quickly. But our growth isn't the only thing that differentiates us.

At Keen, we are proponents of a Conscious Culture. Conscious Culture is an environment built on purpose. A Conscious Culture means that time and effort have been invested into making sure that how our company operates is as important as our business outcomes. Because we work smarter Monday-Thursday, we're able to offer all employees a three-day weekend.

Job Description

What is a Senior Algorithms Engineer?

At Keen, the Senior Algorithms Engineer develops, deploys and improves the algorithms that run in Keen AI Cortex . You're a software engineer first, with the understanding of mathematics, data, and inference to read a model spec, question it, and suggest changes the Principal Algorithms Architectย  hadn't considered. You'll work directly with the Lead Engineer, and Principal Algorithms Architect, taking modeling ideas from prototype to production code and contributing to the algorithms when you see a better path.

What you'll do as the Senior Algorithms Engineer:

  • Own algorithmic features end-to-end across the next generation of Keen's AI Cortex. Design, implement, test, ship, and watch them run in production.

  • Pitch in on adjacent Python backend projects (Django and FastAPI APIs, AWS infrastructure) when a piece of work spans more than one service. ย ย  ย 

  • Keep the engineering practices tight: code review, tests, CI gates, documentation, and a clean ticketed workflow. ย ย  ย 

  • Use AI coding tools with judgment. Fast iteration is the point. So is catching the moments when the model is confidently wrong.

  • Develop algorithms from business ideas and turn them into production code

  • Collaborate with others in the development of the solutions, including the ability to effectively push back when the implementation can be improved .

  • Communicate clearly across Product, Research, and Engineering. Write the design doc, name the tradeoff, get the decision made.

Qualifications

What expertise do the best Senior Algorithms Engineers for Keen have? ย ย  ย 

  • 7+ years shipping production Python on a team

  • Knowledge of inference methods, particularly in economics and business domains including time-series models (or more generally state-space modeling), probability modeling, and multivariate systems.

  • Comfortable with the engineering basics: tests, CI, code review, documentation, and working out of tickets ย ย  ย 

  • Hands-on experience with AWS, Docker

  • Operates independently. Scopes own work, talks to stakeholders, makes judgment calls when no one else is available to make them

  • Writes and speaks clearly

  • Math foundation in linear algebra, probability, and statistics. Demonstrated ability to read and write mathematical specifications, interpret and improve documented solutions.ย ย 

  • Working knowledge of pandas and NumPy, with understanding of the use of these packages in implementing algorithms.ย ย 

Nice-to-have:

  • Marketing Mix Modeling (MMM) or another econometricย  background

  • Bayesian inference experience

  • Optimization exposure

  • A track record of developing mathematical algorithms into shipped production systems.

Benefits of Working with Keen:ย ย  ย  ย ย  ย 

  • Mentoring and training from people who've been doing this for years

  • Hands-on work on Bayesian models, optimization, and the data engineering behind them, applied to a product real customers use

  • A seat in conversations across departments and at company-wide meetings

  • 4-day work week with 3-day weekends

  • Fully remote within the United States

Additional Information

Please read the following before submitting your resume for this position.ย 

MUST be authorizedย to work in the United States. Keen is not able to provide sponsorship at this time. We hope to be able to do so in the near future!ย 

MUST be able travel within the United States 1-3 times a year.ย 

MUST haveย a reliable, everyday remote work desk station.ย 

NOTE:ย ย If you are a candidate for a job here at Keen and have not interacted with a reputable recruiting firm or directly with a Keen team member with an "@keends.com" email domain, please block and/or report those contacts as spam.ย  Thank you for your time and we look forward to connecting!

Keen Decision Systems is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.