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Bayesian Jobs in New York (NOW HIRING)

Berkley

Senior Data Scientist

Jersey City, NJ

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...

The Bronx

Senior AI Data Scientist

Manhattan, NY · On-site

$190 - $220/hr

Develop predictive and custom machine learning models using statistical, causal inference, Bayesian, and other practical algorithmic approaches. * Build AI capabilities using retrieval-augmented ...

New

Dentsu, Inc.

Associate Director, Attribution

New York, NY · On-site

$113K - $170K/yr

Build, validate, and improve MMM frameworks using both Bayesian and Frequentist methodologies . * Manage multiple modeling engagements simultaneously across a diverse portfolio of clients and ...

Applied Physics

Machine Learning Specialist

New York, NY · On-site

... Bayesian methods). * Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++. * Experience with one or more deep learning libraries ...

Point72

Quantitative Researcher - Macro

New York, NY · On-site

$150K - $200K/yr

Thorough understanding of and comfort using a variety of regression techniques-including OLS, MLS, Ridge, Lasso, and Bayesian inference-as well as techniques for dealing with errors that can occur ...

Point72

Quantitative Researcher - Macro

New York, NY · On-site

$150K - $200K/yr

Thorough understanding of and comfort using a variety of regression techniques-including OLS, MLS, Ridge, Lasso, and Bayesian inference-as well as techniques for dealing with errors that can occur ...

Applied Physics

Machine Learning Specialist

New York, NY · On-site

... Bayesian methods). * Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++. * Experience with one or more deep learning libraries ...

Applied Physics

Machine Learning Specialist

New York, NY · On-site

... Bayesian methods). * Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++. * Experience with one or more deep learning libraries ...

Scale

Sr Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

... Bayesian model fitting, DSP, control systems • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK) • FastAPI and microservices experience • React for ...

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Bayesian information

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$163.4K

$174.9K

$187.5K

How much do bayesian jobs pay per year?

As of Aug 17, 2026, the average yearly pay for bayesian in New York is $174,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $169,457.00 and $180,389.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges faced in a Bayesian role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

What is a Bayesian?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What jobs use Bayesian statistics?

Jobs that use Bayesian statistics include data scientists, statisticians, machine learning engineers, and quantitative analysts. These roles often involve developing probabilistic models, updating beliefs with new data, and using tools like R or Python for analysis. Bayesian methods are common in fields such as finance, healthcare, and research for decision-making and predictive modeling.

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

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

What are the most commonly searched types of Bayesian jobs in New York?

The most popular types of Bayesian jobs in New York are:

What are popular job titles related to Bayesian jobs in New York?

For Bayesian jobs in New York, the most frequently searched job titles are:

What job categories do people searching Bayesian jobs in New York look for?

The top searched job categories for Bayesian jobs in New York are:

What cities in New York are hiring for Bayesian jobs?

Cities in New York with the most Bayesian job openings:

Bayesian jobs near you
Infographic showing various Bayesian job openings in New York as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution, with an average salary of $174,923 per year, or $84.1 per hour.

[EOI] Postdoctoral Researcher - NYU Courant - Benjamin Peherstorfer's Group

New York University

New York, NY • On-site

$75K - $84K/yr

Full-time

Re-posted 13 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities

Job description

Description
The Postdoctoral Researcher will work in Professor Benjamin Peherstorfer's group (https://cims.nyu.edu/~pehersto/) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help to develop, implement, and apply novel computational techniques to problems of scientific importance, in collaboration with application scientists and engineers.
Topics of interest include data-driven modeling via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport-dominated parametrized problems, control, and uncertainty quantification.
The start date is flexible and the initial appointment will be for one year with yearly extensions depending on performance and funding.
NYU Courant is a highly respected institute for cutting-edge research and advanced training in applied mathematics and computer science. NYU Courant is in the very heart of the world's leading artistic and financial center in downtown Manhattan.
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $75,000 - $84,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, and internal peer equity, as well as market and organization considerations.
Qualifications
Candidates should have a Ph.D. degree and past work in applied and computational mathematics, with a solid background in machine learning and/or numerical analysis. The candidate should have an interest in science and engineering applications.
Application Instructions
Please follow instructions in the Interfolio application and upload the following documents:
A brief cover letter explaining interests and goals
Up-to-date curriculum vitae with publications
Two confidential (2) reference letters.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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