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Remote Data Science Sports Jobs in Georgia (NOW HIRING)

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... Bachelor's degree in Computer Science, Data Science, or Information Technology Nice If You Have:

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Partner with Data Science to build scalable logging and data pipelines. You will lead the creation ... Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading. * Experience ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Machine Learning Platform Engineer

Atlanta, GA · On-site +1

$155K - $185K/yr

Enabling self-service for ML and Data Science teams for model development and deployment ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

BI Analyst - Game Operations

Atlanta, GA · On-site +1

$80K - $110K/yr

... or data science role. * Extensive knowledge or experience in sports, gaming, DFS, pricing, trading ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Showing results 21-40

Remote Data Science Sports information

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.

What are the key skills and qualifications needed to thrive as a remote data science sports professional?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

Can data science be used in sports?

Data science is widely used in sports to analyze player performance, optimize strategies, and improve team decision-making. Sports data analysts and data scientists utilize tools like machine learning, statistical models, and data visualization to gain insights and enhance athletic outcomes.

Do sports teams hire remote data scientists?

Some sports teams and organizations hire remote data scientists to analyze player performance, game strategies, and fan engagement using data analytics tools. These roles often require skills in statistical modeling, machine learning, and programming languages like Python or R, and may involve collaboration with on-site staff or remote work environments.

How much do remote data science sports make?

Remote data science roles in sports typically have salaries ranging from $70,000 to $130,000 annually, depending on experience, education, and the complexity of projects. Senior positions or those requiring specialized skills in machine learning or sports analytics can earn higher compensation, often exceeding $150,000. These roles often require proficiency in programming languages like Python or R and familiarity with sports data sources and analytics tools.

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

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

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

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

What cities in Georgia are hiring for Remote Data Science Sports jobs?

Cities in Georgia with the most Remote Data Science Sports job openings:

Data Architect

Booz Allen Hamilton, Inc.

Warner Robins, GA • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0243613
Location:
Warner Robins,GA,US
Share job via:
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Data Architect
The Opportunity:
For an organization to transform into today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We're looking for an experienced data architect like you to deliver leading-edge solutions for the DoW.
As a Data Architect on our team, you will be responsible for the full lifecycle of structured and unstructured data, transforming raw information into highly discoverable, governed, and usable assets. This role is critical for bridging data availability while maintaining strict compliance and security boundaries. You'll use your extensive technical expertise to design data architecture solutions for data architecture and modeling, data conditioning, data tagging, discovery, and cross-domain availability. You'll create, design, and implement data architecture solutions in collaboration with business analysts and technology teams to support current and future DoW and United States Air Force systems.
In this role, you'll grow your technical expertise, apply best practices and use tools like Apache NiFi, Airflow, Collibra, and Apache Atlas. You'll guide your team as it designs, defines, develops, and tests cloud solution components, and you'll serve as a liaison between our customers and developers to ensure that requirements are met and solutions are delivered.
With your drive to establish processes and lead technological innovation, you'll make a lasting impact on the Air Force and its mission partners.
Join us. The world can't wait.
You Have:
  • 5+ years of experience in data architecture or data engineering
  • Experience managing both relational databases (SQL) and non-relational systems such as NoSQL, Vector DBs, or Object Storage
  • Experience working with air-gapped systems, cross-domain solutions (CDS), or multi-level security (MLS) IT environments
  • Experience with modern data pipeline tools and data cataloging platforms
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Computer Science, Data Science, or Information Technology

Nice If You Have:
  • Experience designing robust data frameworks to ingest, process, and store massive structured and unstructured datasets
  • Experience cleaning, normalizing, and transforming raw data to ensure absolute quality, consistency, and readiness for analytics
  • Experience with cloud-based secure infrastructure such as AWS, Azure, or Google
  • Experience with automated metadata extraction and AI-driven data tagging
  • Top Secret clearance
  • Master's degree in Computer Science, Data Science, or Information Technology
  • AWS, Microsoft, or Google Data Engineering Certifications
  • Certified Data Management Professional (CDMP) or The Open Group Architecture Framework (TOGAF) Certifications

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914