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Bayesian Statistics Jobs in New York (NOW HIRING)

Strong understanding and application of Bayesian statistics * Expert in building and using models to help create production level products and tools * Proficient with command line tools and GitHub

Data Science Manager

Jersey City, NJ · On-site

$149 - $186/hr

Strong understanding and application of Bayesian statistics * Expert in building and using models to help create production level products and tools * Proficient with command line tools and GitHub

Senior Statistician

New York, NY · On-site

$95K - $105K/yr

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... A focus on statistics and data analysis is essential * The technical and mathematical ability ...

... complex Bayesian network meta-analysis using both standard and emerging methods. The Senior ... A focus on statistics and data analysis is essential * The technical and mathematical ability ...

Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian ...

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical modeling; uncertainty quantification * Geospatial analytics (GIS; GeoPandas/rasterio/GDAL) and spatial databases ...

Showing results 41-60

Bayesian Statistics information

See New York salary details

$5

$16

How much do bayesian statistics jobs pay per hour?

As of Aug 22, 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 is Bayesian statistics?

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 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 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. Proficiency in statistical software such as R or Python is often required.

What is a Bayesian statistician?

A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make statistical inferences. They often use tools like statistical software and require strong knowledge of probability theory and modeling techniques to interpret data within a Bayesian framework.

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, analyzing data, and making predictions using Bayesian methods and tools like R or Python. Strong analytical skills and knowledge of statistical software are typically 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 August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $33,748 per year, or $16.2 per hour.

Data Science Manager

FanDuel

Jersey City, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


FanDuel rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies


Job description

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

  • Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
  • Iterate and improve on betting product range to ensure market leading offering
  • Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
  • Manage a group of Data Scientists to develop production-ready models and solve company-wide challenges
  • Choose appropriate tools, systems and models to solve large data problems
  • Troubleshoot and resolve coding and modeling problems presented by others
  • Proactively seek opportunities or problems to be analyzed
  • Put together project plans for the Data Science team to follow
  • Present to senior leaders confidently and with impact
  • Construct models, analyses and solutions in response to a question or problem posed by a stakeholder or colleague
  • Manage the data preparation process from collection through cleaning
  • Build robust predictive models, showing capabilities of feature and model selection
  • Contribute to a production code environment
  • Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
  • Create dashboards and data visualizations for analysis and communication
  • Identify, grow and develop top talent within the Data Science organization
  • Lead regular forums within or across teams to ensure key decisions and conclusions are disseminated and understood
  • Make significant contributions to, sets agenda for and helps steer large group meetings
  • Determine inefficiencies in ways of working and seeks to solve them

THE STATS
What we're looking for in our next teammate

  • Minimum of 5 years' of industry experience in data science, analytics or engineering preferred
  • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
  • Experience managing or mentoring other data scientists or analysts
  • Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice)
  • Strong understanding and application of Bayesian statistics
  • Expert in building and using models to help create production level products and tools
  • Proficient with command line tools and GitHub
  • Object-oriented design and coding skills
  • Strong verbal and written communication skills - present findings and analysis to senior management, being totally accountable for the entire agenda of the projects owned
  • Help the stakeholders in understanding the business KPIs
  • Bring efficiency and automation in the data infrastructure
  • Ability to work across teams, locations and time zones
  • Willing to work nontraditional hours when applicable
  • Interest or experience in Sports Gaming and/or Fantasy Sports

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid


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