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Remote Football Data Science Jobs in Virginia (NOW HIRING)

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

New

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

New

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ...

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ...

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Showing results 1-20

Remote Football Data Science information

What is the difference between Remote Football Data Science vs Remote Sports Data Analyst?

AspectRemote Football Data ScienceRemote Sports Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of football analyticsDegree in Sports Management, Data Analysis, or related; familiarity with sports data
Work EnvironmentRemote, often collaborative with football teams or analytics firmsRemote or on-site, working with sports organizations or media outlets
Industry UsagePrimarily in football clubs, analytics companies, or sports tech startupsMedia, broadcasting, or sports organizations analyzing various sports

Remote Football Data Science focuses specifically on football analytics, requiring specialized knowledge of football metrics and data science skills. In contrast, Remote Sports Data Analysts work across multiple sports, analyzing diverse datasets. Both roles often work remotely and require similar analytical credentials, but their industry focus and specific expertise differ.

What is a Remote Football Data Scientist?

A Remote Football Data Scientist is a professional who analyzes football (soccer or American football) data to provide insights that help teams, organizations, or media make informed decisions. They use statistical analysis, machine learning, and data visualization techniques to evaluate player performance, predict outcomes, and optimize strategies—all while working remotely. These professionals often collaborate with coaches, scouts, analysts, and other stakeholders by sharing their findings through reports and digital platforms. The role requires strong skills in programming, mathematics, and domain knowledge of football. Working remotely allows them to contribute from anywhere, often using cloud-based tools and virtual collaboration platforms.

What are the typical challenges faced by remote football data scientists, and how can they effectively collaborate with coaching and analytics teams?

Remote football data scientists often face challenges in accessing real-time data, maintaining clear communication across different time zones, and ensuring their analyses align with the needs of coaches and analysts. To overcome these hurdles, it's important to establish regular virtual meetings, use collaborative tools like shared dashboards, and maintain clear documentation of methodologies and findings. Building strong relationships with on-site team members and staying proactive in communication can significantly enhance collaboration and ensure that data-driven insights effectively support team strategies.

What are the key skills and qualifications needed to thrive as a Remote Football Data Scientist, and why are they important?

To thrive as a Remote Football Data Scientist, you need a solid background in statistics, data analysis, and programming (often in Python or R), typically supported by a relevant degree in data science, mathematics, or a related field. Familiarity with sports analytics platforms, machine learning frameworks, and database systems like SQL is commonly required, as are certifications in data analysis or analytics. Strong problem-solving abilities, effective communication, and the capacity to collaborate virtually are vital soft skills for success in this remote, data-driven environment. These skills and qualities enable accurate insights, informed decision-making, and seamless teamwork, ultimately driving competitive advantage for football organizations.
What are the most commonly searched types of Football Data Science jobs in Virginia? The most popular types of Football Data Science jobs in Virginia are:
What job categories do people searching Remote Football Data Science jobs in Virginia look for? The top searched job categories for Remote Football Data Science jobs in Virginia are:
What cities in Virginia are hiring for Remote Football Data Science jobs? Cities in Virginia with the most Remote Football Data Science job openings:
Data Scientist (Remote)

Data Scientist (Remote)

Elder Research

Arlington, VA • On-site, Remote

Other

PTO

Posted 17 days ago


Job description

Job Title: Data Scientist

Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years


Position Overview:

Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.


Requirements:

  • MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.

  • Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.

  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.

  • Ability to communicate analysis techniques, concepts and products.

  • Ability to develop data-driven solutions, data models, and visualizations

  • Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Preferred Experience and Skills:

  • Expertise using Qlik to embed visualizations into webpages

  • Familiarity with Databricks or similar cloud-based distributed database technologies

  • Familiarity with PySpark and Python

  • Comfortable developing complex SQL queries to extract, transform, and load data


About Elder Research, Inc

People Centered. Data Driven

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.