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Data Science Trading Jobs in New York (NOW HIRING)

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

The Data Science team develops machine learning solutions, recommendation systems, experimentation ... Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... trade-offs, and failure modes. * Experience operating models in production over time, including ...

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... trade-offs, and failure modes. * Experience operating models in production over time, including ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... trade-offs, and failure modes. * Experience operating models in production over time, including ...

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... trade-offs, and failure modes. * Experience operating models in production over time, including ...

Data Scientist, Product

Manhattan, NY · On-site

$179 - $210/hr

We're looking for a dedicated and ambitious data science leader to help us accelerate product ... Your work will directly influence the roadmap, uncover new opportunities, and improve the trading ...

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

... and trade communications hold the keys to uncovering misconduct and risk. The role will involve ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

This role owns the modeling strategy, data science roadmap, and decisionsupport frameworks that ... trade promotion, and consumer analytics. * Apply advanced statistical and machine learning ...

... and trade communications hold the keys to uncovering misconduct and risk. The role will involve ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

... and trade communications hold the keys to uncovering misconduct and risk. The role will involve ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Data Scientist

New York, NY · On-site

$165K - $250K/yr

In Business Development at Millennium, we identify and onboard trading talent and data advantages ... Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. * 3+ years of ...

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Data Science Trading information

See New York salary details

$26.2K

$126.6K

$230.7K

How much do data science trading jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science trading in New York is $126,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,876.00 and $173,830.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data science trading?

To thrive in Data Science Trading, you need strong quantitative analysis, statistical modeling, and programming skills, usually supported by a degree in a quantitative field like mathematics, finance, or computer science. Proficiency in Python, R, SQL, and experience with machine learning frameworks and trading platforms such as Bloomberg or QuantConnect are commonly required. Excellent problem-solving, collaboration, and the ability to communicate complex concepts clearly are standout soft skills. These capabilities are crucial for building, optimizing, and explaining data-driven trading strategies in fast-paced financial environments.

What is a data science trading?

A Data Science Trading job involves using data analysis, machine learning, and statistical modeling to develop trading strategies and optimize financial decision-making. Professionals in this field work with large datasets, build predictive models, and implement algorithms to identify market patterns and trading opportunities. They collaborate with traders and quantitative analysts to enhance trading performance and manage risk. Strong programming skills in Python, R, or SQL, along with expertise in finance and mathematics, are essential for success in this role.

What does a data science trading do?

Data Science Trading professionals typically analyze large financial datasets, develop algorithmic trading models, and monitor the performance of existing strategies. A typical day might include collaborating with traders and engineers, implementing new statistical techniques or machine learning algorithms, and backtesting strategies against historical market data. Routine tasks also involve writing code to automate processes, conducting risk assessments, and presenting insights to stakeholders. This role is highly collaborative and requires adapting to rapidly changing market conditions, making each day dynamic and intellectually challenging.

Is data science good for trading?

Data science is valuable in trading roles for analyzing large datasets, developing predictive models, and automating decision-making processes. Skills in programming, statistics, and machine learning are essential, and professionals often use tools like Python, R, and SQL to support trading strategies. Success in this field depends on strong analytical abilities and understanding financial markets.
What are the most commonly searched types of Data Science Trading jobs in New York? The most popular types of Data Science Trading jobs in New York are:
What are popular job titles related to Data Science Trading jobs in New York? For Data Science Trading jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science Trading jobs in New York look for? The top searched job categories for Data Science Trading jobs in New York are:
What cities in New York are hiring for Data Science Trading jobs? Cities in New York with the most Data Science Trading job openings:
Infographic showing various Data Science Trading job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,603 per year, or $60.9 per hour.

Data Science Manager

FanDuel

Jersey City, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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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