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Computer Science Sports Jobs in Massachusetts (NOW HIRING)

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 ...

Senior Data Science Engineer

Boston, MA · On-site

$115K - $156K/yr

... sports and entertainment. You'll work closely with machine learning engineers to develop new ... Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related ...

Senior Data Science Engineer

Boston, MA

$115K - $156K/yr

... sports and entertainment. You'll work closely with machine learning engineers to develop new ... Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related ...

... Computer Science, Engineering, or equivalent experience Company : ReBet is a next-generation social sportsbook and casino platform built for modern sports and gaming fans. Founded in 2023, the ...

... degree in Computer Science, Engineering, or equivalent experience preferred. Company : ReBet is a next-generation social sportsbook and casino platform built for modern sports and gaming fans.

Senior Industrial Design, Lead

Boston, MA · On-site

$110K - $118K/yr

Our products sit at the intersection of hardware, software, data science, sport, health, fashion ... Strong 2D and 3D design skills, including sketching, CAD, rendering, visualization, and physical ...

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Computer Science Sports information

See Massachusetts salary details

$21.5K

$68.9K

$139.5K

How much do computer science sports jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science sports in Massachusetts is $68,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,911.00 and $89,040.00 per year, depending on experience, location, and employer.

What is a computer science sports?

A Computer Science Sports job involves using technology, data analysis, and software development to improve various aspects of sports. Professionals in this field may work on performance analytics, sports simulations, wearable technology, or data-driven decision-making for teams and athletes. They often use programming, machine learning, and statistical analysis to optimize player performance, injury prevention, and game strategies. This role can be found in sports organizations, tech companies, and research institutions.

What does a computer science sports do?

Individuals working in Computer Science Sports typically spend their days collecting and analyzing performance data, developing software tools or predictive models to support coaching decisions, and collaborating with multidisciplinary teams including coaches, trainers, and sports scientists. They may also be responsible for maintaining databases, visualizing data for reports, and ensuring data integrity across multiple sources. Regular meetings with stakeholders help ensure projects align with team goals and athletic objectives. This role offers a dynamic environment at the intersection of technology and sports, with the potential to directly impact athletic performance and strategy.

What are the key skills and qualifications needed to thrive in computer science sports?

To succeed in a Computer Science Sports role, you should have a strong background in computer science fundamentals such as programming, data structures, and analytics, often paired with knowledge of sports science or management. Experience with data analytics tools, sport-specific software platforms, and programming languages like Python or R is highly valued, and certifications in areas such as data science or sports analytics can be advantageous. Excellent problem-solving, teamwork, and communication skills help in translating complex data insights to coaches, athletes, or executives. These abilities are important because they bridge the gap between technology and sports performance, driving informed decision-making and innovation in the athletic industry.

How is computer science used in sports?

Computer science in sports involves developing data analysis tools, performance tracking systems, and simulation models to improve athlete training and game strategies. Professionals in this field often work with programming languages, data visualization, and machine learning to enhance sports performance and fan engagement.

What are the most commonly searched types of Computer Science Sports jobs in Massachusetts?

The most popular types of Computer Science Sports jobs in Massachusetts are:

What are popular job titles related to Computer Science Sports jobs in Massachusetts?

For Computer Science Sports jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Computer Science Sports jobs in Massachusetts look for?

The top searched job categories for Computer Science Sports jobs in Massachusetts are:

What cities in Massachusetts are hiring for Computer Science Sports jobs?

Cities in Massachusetts with the most Computer Science Sports job openings:

Infographic showing various Computer Science Sports job openings in Massachusetts as of August 2026, with employment types broken down into 5% Internship, 57% Full Time, 36% Part Time, and 2% Temporary. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $68,926 per year, or $33.1 per hour.

Senior Data Science Engineer

National Geographic

Boston, MA • On-site

$120.80 - $151/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Position Overview

As a Senior Data Science Engineer, you'll join a high‑impact team solving some of the most complex analytical challenges in sports and entertainment. You'll work closely with machine learning engineers to develop new product capabilities and uncover insights from massive datasets using our advanced infrastructure. In this role, you'll apply advanced analytics and machine learning to create innovative solutions that drive business outcomes and shape the future of our products.

Responsibilities
  • Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment.
  • Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement.
  • Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems.
  • Mentor junior data scientists and share modeling and engineering best practices across the team.
  • Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy.
Qualifications
  • Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related discipline.
  • Proven experience applying machine learning and statistical modeling to solve real‑world business problems, ideally in marketing or customer lifecycle contexts.
  • Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms.
  • Ability to independently structure and execute data science projects and deliver business value through production‑ready models.
  • Excellent communication and collaboration skills to work effectively across technical and non‑technical teams.
Compensation

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. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

Legal & Compliance

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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