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Data Science Sports Jobs in Virginia (NOW HIRING)

KGTiger

Talent Acquisition Specialist

Arlington, VA · On-site +1

$90K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

KGTiger

Talent Acquisition Specialist

Arlington, VA · On-site +1

$90K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Genomics Ltd

Business Development Lead

Triangle, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Loyal Source

Performance Dietician

Virginia Beach, VA · On-site

Ensure availability of adequate educational materials and sports nutrition specific supplies ... Collect and report data as required and proficiently utilize computers, software, and technologies.

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All JobsData Science Sports JobsData Science Sports Jobs in Virginia

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.

What are the most commonly searched types of Data Science Sports jobs in Virginia?

The most popular types of Data Science Sports jobs in Virginia are:

What are popular job titles related to Data Science Sports jobs in Virginia?

For Data Science Sports jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Science Sports jobs in Virginia look for?

The top searched job categories for Data Science Sports jobs in Virginia are:

What cities in Virginia are hiring for Data Science Sports jobs?

Cities in Virginia with the most Data Science Sports job openings:

Data Science Sports jobs near you
Infographic showing various Data Science Sports job openings in Virginia as of August 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 100% In-person job distribution.

Talent Acquisition Specialist

KGTiger

Arlington, VA • On-site, Remote

$90K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Company Description

Its a SAAS/AI product platform company.

Job Description

The Opportunity:

The Talent Acquisition Specialist will be responsible for finding qualified candidates for a variety of positions in the Washington DC metro area and global remote field locations. This position requires someone that can work with minimal supervision and is a self-starter. This role will report directly to Senior Manager, Talent Acquisition and Culture and assist in key strategic initiatives to drive our next phase of growth.

Key Responsibilities:

  • Full lifecycle recruitment across various departments such as Engineering, Product, Data Science and Sales
  • Proactively target and source candidates using databases, social media, networking, and other sources
  • Conducting interviews to evaluate candidates' qualifications and fit for the role
  • Planning and execution of recruiting cycles to create a strong candidate pipeline and deliver high quality customer service to hiring managers and candidates
  • Develop a working relationship with the local universities Computer Science and Data Science programs for the recruitment of interns and full-time employees
  • Working closely with hiring managers on job description development, candidate profile creation, candidate evaluation, and selection
  • Support the Human Resources department on a variety of ad hoc projects across all functional areas


 

Qualifications

Qualifications:

  • Bachelor's degree
  • 4 years' experience in high volume recruitment (candidate must have experience completing all stages including sourcing, screening, interviewing, testing, selection, offer, negotiation and closing candidates)
  • Solid understanding of technical concepts for appropriate identification and evaluation of candidates
  • Outstanding interpersonal, communication, and customer service skills
  • Strong organization skills and the ability to manage multiple priorities and deliver assignments on time in a fast-paced environment
  • Must have prior experience utilizing an ATS (Greenhouse is a huge plus!)
  • EMEA recruiting is a huge plus
Additional Information

Salary up to $90K to $95K

Benefits:

  • Comprehensive Health & Wellness package (Medical, Dental and Vision)
  • 10 Paid Holiday Days Off
  • Flexible Paid Time Off (FTO)
  • 401 (k) Employer Matching
  • Stock Options
  • Career advancement opportunities
  • Casual Dress
  • On-site gym and dedicated Peloton room at headquarters
  • Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)
  •  Annual company party
  • Employee Referral Program

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