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Bayesian Jobs in New York (NOW HIRING)

CyberCoders

Data Scientist

New York, NY · On-site

Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian Stats, probability distributions, regressions, etc. Coding experience in a production environment. You ...

Berkley

Senior Data Scientist

Jersey City, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

Strong foundation in modeling techniques (e.g., differential equations, agent-based modeling, network models, Bayesian approaches) for simulating ecological processes or population dynamics.

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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 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 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 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, 21% Part Time, and 2% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $174,923 per year, or $84.1 per hour.

Quantitative Researcher - Data Science

Squarepoint Capital

New York, NY

$185K/yr

Full-time

Posted 20 days ago

Job description

Squarepoint Services US LLC seeks a Quantitative Researcher - Data Science for its New York, New York location.

Duties: Performing independent and collaborative research on statistical and probabilistic theories. Developing and maintaining effective and efficient computer programs that can be used for financial modeling. Actively collaborating with various teams within Squarepoint to update, optimize, and add new features to current models and workflows to accommodate the emerging demands and requests from the markets. Assisting team's senior quantitative researchers in building, validating, releasing, and maintaining highly complex automated predictive models.

Requirements: Must have a minimum of a Master's degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a Quantitative Researcher or related position for an investment/asset management organization focusing on probability, statistics, time series analysis, optimization, data science, and machine learning. Must have at least two (2) years of employment experience with each of the following required skills: Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a collaborative setting

Salary / Rate Minimum/yr: $150,000

Salary / Rate Maximum/yr: $185,000

40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer

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