Data Scientist, Market Making

FanDuel

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Jersey City, NJ
Salary: $98,000–$152,250 / yr
Posted: 29 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k

This role $125k

$85k most similar roles pay here $223k

This role pays less than 90% of similar roles. Most pay $126,800–$209,476 — the shaded band above. At the midpoint, this role pays about $125k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About FanDuel

FanDuel is a leading online sports betting and daily fantasy sports platform operating across the United States, offering sportsbook wagering, casino games, and horse racing to millions of customers.

FanDuel currently has 42 open roles on FindRole.

Listed pay typically runs $138,000–$188,000 across 42 roles with salary data.

Most-posted roles

View all roles at FanDuel

At a glance

TL;DR · Data Scientist, Market Making

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Data Scientist, Market Making joins the Risk & Trading team to build and improve predictive models and algorithmic decision systems that power automated pricing and trading. Working alongside algorithmic traders, quant engineers, and product teams, you will translate sports, market, and operational data into models designed to enhance price quality, execution quality, market competitiveness, and risk management. Your daily responsibilities include managing data preparation from collection through cleaning, developing backtesting and simulation tools, and creating dashboards for model health and performance analysis. The role requires proficiency in Python or R and SQL, along with experience in object-oriented design, GitHub, and command line tools. This position addresses the technical challenges of real-time decision environments and pricing dynamics within the sports betting, prediction markets, and fantasy sports domains to improve automated trading results.

What does a Data Scientist earn?

Median $162000 from 295 postings across 61 companies.

See salary data

Skills

Python R SQL Data Science Backtesting Simulation GitHub Command Line Data Visualization Production Deployment

What you'll do

Develop, iterate, and deploy predictive models and algorithmic decision systems for automated pricing and market making.
Manage the full data lifecycle including collection, cleaning, and feature selection to build robust models.
Improve quoting, pricing, and exposure-management logic using sports data and market signals.
Build backtesting, simulation, and monitoring tools to evaluate model calibration and risk-adjusted performance.
Create dashboards and visualizations to monitor model health, execution quality, and communication.
Conduct post-event and post-trade analysis to identify opportunities for improving pricing and automation.
Collaborate with engineering teams to improve trading tools, controls, and operational reliability.
Contribute to a production code environment by providing feedback on platform behavior and feature validation.

What we're looking for

Bachelor's degree in a highly numerate major (Math, Stats, Econ, Computer Science, Engineering) or relevant experience.
Strong proficiency in Python or R and SQL.
Experience building and deploying models for production products and tools.
Experience in data science, analytics, quantitative research, or engineering (preferred).
Experience with simulation or back testing (preferred).
Interest or experience in sports betting, prediction markets, DFS, or fantasy sports (preferred).
Familiarity with pricing dynamics, market behavior, or real-time decision environments (preferred).
Proficiency with command line tools, GitHub, and object-oriented design and coding.

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