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Data Science Sports Jobs (NOW HIRING)

DraftKings

Senior Data Science Engineer

Boston, MA · On-site

$115K - $156K/yr

Analyze large, complex market, trading, and sports datasets to uncover insights, inform strategy ... A Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Operations Research ...

Algomine

NY · On-site

$80 - $120/hr

Work in a dedicated Data Science team * Private healthcare and sports card * Flexible working hours and the possibility of 100% remote work * Team‑building events and unforgettable company events

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Data Science Sports information

What is a Data Science Sports?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What does a Data Science Sports professional do?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.

What skills and qualifications are needed for a Data Science Sports position?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

How much do data science sports make?

Data science roles in sports typically have salaries ranging from $60,000 to over $120,000 annually, depending on experience, location, and the level of responsibility. Professionals often use skills in statistics, machine learning, and data visualization tools to analyze athletic performance, team strategies, or fan engagement. Entry-level positions may start lower, while senior roles or those in major leagues tend to pay higher salaries.

What do data science sports do in sports?

Data science professionals in sports analyze large datasets to improve team performance, player health, and game strategies. They use statistical models, machine learning, and data visualization tools to identify patterns and inform decision-making in areas like player recruitment and game tactics.
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Data Science Sports jobs near you
Infographic showing various Data Science Sports job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Science Engineer

DraftKings

Boston, MA • On-site

$115K - $156K/yr

Full-time

Re-posted 6 days ago

DraftKings rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

3rd of 15 rated gambling companies

Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Senior Data Science Engineer, you'll help shape the advanced machine learning and quantitative research solutions behind our real-time pricing and market-making capabilities across sports and entertainment. You'll partner with Quantitative Traders, Machine Learning Engineers, Product Managers, and cross-functional stakeholders to advance modeling and trading strategies, influence technical direction, and turn complex data into actionable insights. Your work will move ideas from experimentation to production, driving measurable trading performance and strengthening our decision-making capabilities.


What you'll do as a Senior Data Science Engineer

  • Lead the design, development, and validation of advanced machine learning models and quantitative frameworks that power pricing, market-making, and other customer-facing and internal capabilities.

  • Analyze large, complex market, trading, and sports datasets to uncover insights, inform strategy, and identify opportunities to improve performance.

  • Architect and optimize scalable data pipelines and algorithmic engines that support high-performance, real-time systems.

  • Turn ambiguous business challenges into clear technical approaches, partnering with Quantitative Traders, Machine Learning Engineers, Product Managers, and cross-functional stakeholders to deliver effective solutions.

  • Drive model deployment, monitoring, and lifecycle management in production environments, ensuring solutions remain reliable, scalable, and impactful.

  • Establish best practices for backtesting, experimentation, model evaluation, and code quality while mentoring teammates and raising technical standards across the team.

What you'll bring

  • A Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Operations Research, Economics, or a related field.

  • At least 3 years of experience building, deploying, and maintaining machine learning, quantitative research, or advanced analytics solutions in production environments; experience in financial markets, market-making, sports betting, prediction markets, or other real-time decision systems is preferred.

  • Strong proficiency in Python and experience working with libraries and frameworks such as pandas, NumPy, and PySpark.

  • A deep understanding of statistics, probability, experimental design, applied machine learning, and quantitative modeling techniques.

  • Experience working with large-scale, complex datasets and integrating data across distributed and real-time systems.

  • The ability to translate complex business challenges into scalable technical solutions and communicate your approach and insights clearly to technical and non-technical audiences.

  • A track record of working independently, influencing technical direction, and driving complex initiatives from concept through production.

Join Our Team

We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. 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.

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