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Sports Data Science Internship Jobs in Decatur, GA

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in ... Experience mentoring junior colleagues and interns.

AEG

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

... sports betting and daily fantasy ecosystems. What you'll do: * Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science ...

AEG Presents

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

... sports betting and daily fantasy ecosystems. What you'll do: * Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

... sports betting and daily fantasy ecosystems. What you'll do: * Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science ...

AEG

Machine Learning Platform Engineer

Atlanta, GA · On-site

$135K - $160K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... Enabling self-service for ML and Data Science teams for model development and deployment.

HD Supply

2027 Intern - IT

Atlanta, GA · On-site +1

$14.50 - $19.25/hr

Currently pursuing a Bachelor's degree in Computer Science, Information Systems, Information ... Familiarity with data visualization or analytics tools. * Prior internship or project experience in ...

Cox Automotive

Entry Level Data Engineer

Vinnings, GA

$67K - $100K/yr

Bachelor's degree in computer science, information systems, statistics, or a related analytical field * Up to one year of professional, contract, or internship experience in data engineering (new ...

Cox Automotive

Entry Level Data Engineer

Pine Lake, GA

$67K - $100K/yr

Bachelor's degree in computer science, information systems, statistics, or a related analytical field * Up to one year of professional, contract, or internship experience in data engineering (new ...

Chicken Salad Chick

Intern

Atlanta, GA

$14.25 - $19/hr

Role Number of Interns Needed Responsibilities Real Estate/Development 1 Support team with day-to ... Open to Data Science/CMDA majors. Supply Chain 1 Assist in the analysis and optimization of supply ...

Cox Automotive

Entry Level Data Engineer

Redan, GA

$67K - $100K/yr

Bachelor's degree in computer science, information systems, statistics, or a related analytical field * Up to one year of professional, contract, or internship experience in data engineering (new ...

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All JobsSports Data Science Internship JobsSports Data Science Internship Jobs in Decatur, GA

Sports Data Science Internship information

See Decatur, GA salary details

$11

$21

$41

How much do sports data science internship jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for sports data science internship in Decatur, GA is $21.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.94 per hour, depending on experience, location, and employer.

What is a Sports Data Science Internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

What are the key skills and qualifications needed to thrive as a Sports Data Science Intern, and why are they important?

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

What types of projects or tasks can I expect to work on during a Sports Data Science Internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

What is the difference between Sports Data Science Internship vs Sports Data Analyst?

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

What job categories do people searching Sports Data Science Internship jobs in Decatur, GA look for? The top searched job categories for Sports Data Science Internship jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Sports Data Science Internship jobs? Cities near Decatur, GA with the most Sports Data Science Internship job openings:
Sports Data Science Internship jobs near you
Consultant, AI Strategy & Governance

Consultant, AI Strategy & Governance

Thought Logic Consulting

Atlanta, GA • On-site

Full-time

Posted 19 days ago

Job description

Consultant, AI Strategy & Governance
Department: Data Analytics
Employment Type: Full Time
Location: Atlanta
Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.
The RoleWe are looking for an analytically strong and motivated Consultant with 2-3 years of experience (or a recent MS/MBA graduate with a concentration in Data, Technology, AI, or a related field) to join our growing Data & AI practice based in Atlanta, GA. In this role, you will support senior consultants on client engagements by conducting research and benchmarking, documenting stakeholder interviews, developing strategy and governance artifacts and deliverables, and helping clients build the operational foundations for responsible AI adoption at scale. You will gain hands-on exposure to enterprise AI governance, operating model design, and cross-functional stakeholder engagement while building your consulting skills in a collaborative, client-facing environment.
What You'll Do
  • Support current-state discovery by conducting research and benchmarking to assess AI maturity and industry positioning
  • Support intake and prioritization as well as the development of frameworks to facilitate it through data gathering and analysis
  • Synthesize findings into structured insights, reports, and recommendations
  • Develop executive-ready deliverables including process maps, workflow diagrams, RACIs, roadmaps, presentations, and summaries
  • Support stakeholder alignment across enterprise architecture, legal, privacy, information security, and business teams
  • Build and maintain inventories of AI tools, models, data assets, and vendors
  • Draft governance policies, standards, and risk classification templates, including guidance on tool usage
  • Partner with engineering teams to support documentation of monitoring approaches, model performance tracking, and risk controls
  • Participate in governance forums, documenting decisions and tracking action items
  • Coordinate stakeholder interviews and document key insights and requirements
  • Assist in development of training materials and adoption resources
  • Support cross-functional collaboration across legal, risk, compliance, and technology teams

Who You'll Work With
  • Senior strategists and engagement leads who will mentor you and provide hands-on guidance across client engagements
  • Clients across industries including financial services, energy and utilities, retail, healthcare, and technology who are building AI governance capabilities
  • Cross-functional stakeholders spanning technology, legal, risk, compliance, HR, and business operations
  • Colleagues who prioritize curiosity, humility, collaboration, and hands-on problem-solving
  • A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • 2-3 years of professional experience in consulting, data analytics, AI/technology strategy, governance, or a related analytical role; OR a recently completed MS or MBA with a concentration in Data Science, Technology, AI, Industrial Engineering, or a related field
  • Strong understanding of data and AI fundamentals including familiarity with Generative AI, Agentic AI, machine learning concepts, data governance, and responsible AI principles
  • Excellent analytical and research skills with the ability to synthesize complex information into clear, structured deliverables
  • Strong written and verbal communication skills, including the ability to create polished documents, presentations, and process visualizations
  • Ability to work collaboratively across teams, build rapport with stakeholders at various levels, and contribute to alignment and conflict resolution in cross-functional settings
  • Strong problem-solving orientation with comfort navigating ambiguity and managing multiple workstreams simultaneously
  • Proficiency in Microsoft Office (PowerPoint, Excel, Word) and familiarity with collaboration and visualization tools
  • Bachelor's degree in Business, Technology, Data Science, Engineering, Industrial Engineering, or a related field

Bonus Points If You Have
  • Previous consulting firm experience or internship in a strategy, governance, or analytics capacity
  • Exposure to AI governance frameworks, data governance programs, or enterprise operating model design
  • Familiarity with data and AI platforms such as Snowflake, Databricks, or Palantir Foundry
  • Background in Industrial Engineering, operations research, or process optimization methodologies
  • Experience with process mapping tools, data visualization, or business intelligence platforms
  • Relevant certifications in data, AI, cloud platforms, or project management

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake
  • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space

Apply