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Data Science Sports Jobs in Washington (NOW HIRING)

Data Scientist I

Alexandria, VA · On-site

$90 - $110/hr

Bachelor's degree in quantitative science, social science, or a related discipline. * Basic ... Experience working with Special Operations, athletics/sports, or other military settings. * Strong ...

Talent Acquisition Specialist

Arlington, VA · On-site +1

$90K - $95K/yr

Full lifecycle recruitment across various departments such as Engineering, Product, Data Science ... Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)

Talent Acquisition Specialist

Arlington, VA · On-site +1

$90K - $95K/yr

Full lifecycle recruitment across various departments such as Engineering, Product, Data Science ... Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)

... is a science-led transatlantic TechBio combining large-scale genetic and health data with ... From regular Town Halls and team picnics to organised sports events, our social committee ensures ...

QA Test Engineer

Bethesda, MD · Remote

$44.25 - $60.25/hr

... military and sports. What You'll Do * QA & Testing: Design, execute, and maintain manual and ... Partner with engineering, data science, and product to shift quality left-reviewing specs ...

... Sports Marketing KEY RESPONSIBILITIES: Media Leadership * Engage with GEICO officers and senior ... Partner with Data Sciences to further the scale of re-marketable consumers across the GEICO ...

... Sports Marketing KEY RESPONSIBILITIES: Media Leadership * Engage with GEICO officers and senior ... Partner with Data Sciences to further the scale of re-marketable consumers across the GEICO ...

Organised sports activities Join our team Business Development Lead Location Department Genomics ... is a science-led transatlantic TechBio combining large-scale genetic and health data with ...

... is a science-led transatlantic TechBio combining large-scale genetic and health data with ... From regular Town Halls and team picnics to organised sports events, our social committee ensures ...

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Data Science Sports information

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 athletic training, game tactics, and talent scouting.

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.

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.

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 work with advanced analytics, machine learning, and data visualization tools to improve team performance and business decisions.
What are the most commonly searched types of Data Science Sports jobs in Washington? The most popular types of Data Science Sports jobs in Washington are:
What are popular job titles related to Data Science Sports jobs in Washington? For Data Science Sports jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Data Science Sports jobs? Cities in Washington with the most Data Science Sports job openings:
Infographic showing various Data Science Sports job openings in Washington as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 95% In-person, and 5% Remote job distribution.

Basketball Data Analyst (Mystics)

Monumental Sports & Entertainment

Washington, DC • On-site

$110K - $130K/yr

Other

Posted 4 days ago


Job description

Position Overview:

The Washington Mystics Basketball Data Analyst is responsible for designing, testing, and building statistical models and reports to support the Mystics. This position will be an integral component of research efforts and be a member of a dynamic team consisting of programmers, developers, statisticians, analysts, and data scientists. This role will work closely on projects impacting the decision-making process for the Washington Mystics alongside the front office.

Are you creative and have a passion for exploring, inventing and discovering new insights about basketball and data communication?! We'd love to hear from you!

Responsibilities:
  • Build and develop systems, analytical models, foundational structures, and machine learning models to support decision-making processes for the Mystics.
  • Respond in a timely and efficient manner to ad-hoc requests from Basketball Operations Executives and the front office.
  • Translate data-driven results into actionable basketball decisions and recommendations.
  • Use data to identify possible solutions to strategic questions, including areas of player evaluation, game management, in-game tactics, roster building, salary cap strategy, and broader WNBA league trends.
  • Integrate novel research, basketball metrics, and models into existing and new applications.
  • Originate innovative ways to analyze and summarize data from existing and new partners.
  • Provide the basketball operations departments with the best empirical data and data analysis available, ensuring objectivity and integrity of information through meticulous analytical models.
  • Work with the larger research team to maintain a multidimensional and secure information system that anticipates the needs of the front office.
  • Other duties as assigned.
Minimum Qualifications:
  • Bachelor's Degree or equivalent experience in STEM field including Statistics, Mathematics, Computer Science, Data Science, or similar domain.
  • Basic knowledge of WNBA, team rosters, and league trends.
  • Experience with basketball data, including play-by-play and sports tracking data such as Second Spectrum markings or raw data.
  • Experience with standard SQL and other database management tools.
  • Experience using Python, R, or other statistical programming languages.
  • Experience with data visualization principles and tools.
  • Excellent analytical skills with experience researching and analyzing data.
  • Outstanding written and verbal communication skills.
  • High integrity, dependable, and comfortable with confidential information.
  • Ability to effectively prioritize tasks and manage time efficiently.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Range: $110k - 130k USD.

Benefit Eligibility: This role is eligible to participate in health and welfare benefits.