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Remote Bayesian Jobs in Washington, DC (NOW HIRING)

1872 Consulting

Data Scientist

Washington, DC · On-site +1

Data ScientistWashington DC or Remote Full TimeResponsibilities:Modeling complex problems ... Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support ...

1872 Consulting

Data Scientist

Washington, DC · On-site +1

Data ScientistWashington DC or Remote Full TimeResponsibilities:Modeling complex problems ... Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support ...

1872 Consulting

NLP Developer

Herndon, VA · On-site +1

Working knowledge of a wide range of machine learning concepts including statistics, Bayesian ... Experience working with remote sensing data, ideally satellite imagery.An understanding of ...

1872 Consulting

NLP Developer

Herndon, VA · On-site +1

Working knowledge of a wide range of machine learning concepts including statistics, Bayesian ... Experience working with remote sensing data, ideally satellite imagery.An understanding of ...

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All JobsBayesian JobsRemote Bayesian JobsRemote Bayesian Jobs in Washington, DC

Remote Bayesian information

See Washington, DC salary details

$94.6K

$143.9K

$193.7K

How much do remote bayesian jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote bayesian in Washington, DC is $143,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $162,500.00 per year, depending on experience, location, and employer.

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.

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 are popular job titles related to Remote Bayesian jobs in Washington, DC?

For Remote Bayesian jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Bayesian jobs in Washington, DC look for?

The top searched job categories for Remote Bayesian jobs in Washington, DC are:

Remote Bayesian jobs near you

Data Scientist

1872 Consulting

Washington, DC • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data ScientistWashington DC or Remote Full TimeResponsibilities:Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniquesParticipating in the areas of architecture, design, implementation, and testingProposing innovative ways to look at problems by using data mining approaches on the set of information availableDesigning experiments, testing hypotheses, and building modelsConducting advanced data analysis and designing highly complex algorithmApplying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systemsQualifications:At least 5 years experience in Java, Spring and MySQL (or any relational database) and PythonExperience with databases (including NoSQL)Experience in machine learning frameworks and librariesSupervised and Unsupervised learningMachine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)Computer Science or Mathematics or Physics degreeExcellent communication and analytical skillsWillingness to work hard (50 hrs per week)Very good EnglishNice To Have (Not Required):Experience with Apache SparkNatural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)R programming language

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About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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