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Bayesian Statistics Jobs in New York (NOW HIRING)

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 ...

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 ...

Education and Minimum Requirement: • PhD or equivalent degree in statistics/biostatistics or ... Bayesian analysis • Skilled in writing statistical software code - in particular, software to ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

Jr Data Scientist

Brooklyn, NY · On-site

$70K - $85K/yr

Background in Bayesian statistics, regression analysis, or causal inference Exposure to GCP in addition to AWS/Azure * Collaborate closely with cross-functional partners (marketing, product ...

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Bayesian Statistics information

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$5

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How much do bayesian statistics jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for bayesian statistics in New York is $16.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $16.20 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Bayesian Statistics?

A typical day for a professional specializing in Bayesian Statistics often involves designing and running statistical models, analyzing datasets using Bayesian methods, and programming in tools like R or Python. You may collaborate with data scientists, researchers, and subject matter experts to define problems and interpret statistical results. Responsibilities can also include presenting findings to non-technical stakeholders, developing new modeling techniques, and staying updated with advances in Bayesian methodology. The role offers a dynamic mix of technical analysis, problem-solving, and teamwork, making each day intellectually engaging.

What type of statistician makes the most money?

Senior statisticians with expertise in Bayesian methods, data science, or machine learning tend to earn higher salaries, especially in industries like finance, technology, and pharmaceuticals. Advanced skills, certifications, and experience with programming tools such as R or Python can also increase earning potential.

What industries use Bayesian statistics?

Bayesian statistics is widely used across industries such as healthcare, finance, marketing, and technology for data analysis, predictive modeling, and decision-making. Professionals in these fields often utilize statistical software like R or Python and require strong analytical skills to interpret probabilistic models effectively.

What is a Bayesian Statistics job?

A Bayesian Statistics job involves using Bayesian methods to analyze data, update probabilities, and make inferences based on prior knowledge. Professionals in this field apply Bayesian techniques in areas like machine learning, finance, healthcare, and scientific research. They typically work with probabilistic models, statistical software, and programming languages such as Python or R. These roles require strong mathematical skills and are often found in academia, industry, and government research.

What is a Bayesian statistician?

A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make inferences. They often use statistical software and require strong mathematical skills to develop models that incorporate prior knowledge and evidence.

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

To thrive in Bayesian Statistics, you need a deep understanding of probability theory, statistical modeling, and strong programming skills, usually supported by an advanced degree in statistics, mathematics, or a related field. Familiarity with technical tools like R, Python, Stan, and software for Bayesian inference, as well as relevant certifications, is often required. Analytical thinking, attention to detail, and the ability to clearly communicate complex concepts are essential soft skills. These skills and qualities ensure accurate and interpretable statistical analyses, effective collaboration with cross-functional teams, and reliable data-driven decision making.

What can you do with Bayesian statistics?

A professional in Bayesian statistics applies probabilistic models to analyze data, make predictions, and update beliefs based on new information. This skill is used in fields like data science, machine learning, and research to improve decision-making and model uncertainty. Familiarity with statistical software and programming languages such as R or Python is often required.
What are the most commonly searched types of Bayesian Statistics jobs in New York? The most popular types of Bayesian Statistics jobs in New York are:
What are popular job titles related to Bayesian Statistics jobs in New York? For Bayesian Statistics jobs in New York, the most frequently searched job titles are:
What job categories do people searching Bayesian Statistics jobs in New York look for? The top searched job categories for Bayesian Statistics jobs in New York are:
Infographic showing various Bayesian Statistics job openings in New York as of July 2026, with employment types broken down into 83% Full Time, 8% Part Time, and 9% Contract. Highlights an 61% In-person, 6% Hybrid, and 33% Remote job distribution, with an average salary of $33,748 per year, or $16.2 per hour.

Quantitative Researcher - Data Science

Squarepoint Capital

New York, NY • On-site

$185K/yr

Full-time

Posted 5 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