What you’ll do:

• Build, iterate, and launch models to a production environment focused on predicting outcomes in sports.
• Train machine learning models and build statistical modeling frameworks using custom methods, or using xgboost, sklearn, pytorch, etc.
• Manage SQL queries to ensure data pipelines are efficient, accurate, and up to date.
• Rigorously backtest models to ensure highly accurate predictions.

What you have:

• Demonstrable history of projects that are either sports-focused or are related to building novel approaches to machine learning.
• Strong technical or math/statistics background. Computer science, statistics, math, physics, economics, etc. 
• Strong coding skills and ability to code without being fully dependent on AI tools - Python, SQL.
• Interest in sports betting, prediction markets, financial markets, or fantasy sports.
• Proven ability to build sophisticated models, not just out of the box templates.
• Deep passion for sports. Not just a casual fan, but someone who deeply knows the ins and outs of a few sports.

What makes you stand out:

• Experience with lower-level programming languages - Rust, Java, C++.
• Demonstrable background/coursework building machine learning algorithms from scratch.
• Success in open-source projects e.g. Big Data Bowl, Kaggle, school research labs.
• Proven and verifiable background building algorithmic origination, modeling, or trading strategies.
• Work experience with a professional sports team.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote

Working at PrizePicks:

The typical salary range for this position is $85,000 to $115,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your 

recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

Date Posted: 05/08/26

Are you fascinated by what makes consumers tick? Join our Insights team as a Customer Insights Intern and help us uncover the "why" behind member behavior. This internship is your chance to gain hands-on experience in market research, data-driven storytelling, and strategy, all at the exciting intersection of sports and gaming. You'll work alongside experienced researchers and contribute directly to high-impact projects that shape our marketing, product, and business strategy.

What You'll Do

You'll be a crucial support member for the Insights team, helping to manage research processes and generate strategic findings. You will:

• Be a Data Manager: Maintain and organize our core databases of research materials, including transcripts, reports, and qualitative data.
  
  
• Monitor Trends: Keep a pulse on social platforms and online communities to identify emerging trends, track sentiment shifts, and gather real-time feedback.
  
  
• Conduct Research: Perform secondary research on industry trends, competitors, and consumer behavior, summarizing your findings into clear, concise briefs.
  
  
• Support Study Execution: Assist lead researchers in designing and executing various studies, including surveys, interviews, focus groups, and mixed-method research.
  
  
• Analyze and Synthesize: Help with qualitative coding, quantitative data cleaning, and the preparation of deliverables like topline summaries, analysis tables, and slide decks.
  
  

Who We're Looking For

You're a naturally curious, organized, and reliable individual with a strong desire to turn data into compelling stories. You're a great fit if you have:

• Educational Background: You are a rising junior/senior, graduate student, or recent graduate in a relevant field such as Market Research, Psychology, Business, Statistics, or Economics.
  
  
• Organizational Skills: You are detail-oriented and reliable, with the ability to efficiently manage and organize multiple tasks and datasets.
  
  
• Storytelling Ability: Strong writing and synthesis skills, with the ability to transform raw data into clear, actionable insights.
  
  
• Tool Familiarity: Comfortable using Excel/Google Sheets. Exposure to survey tools (like Qualtrics) or data visualization platforms (like Tableau) is a bonus.
  
  
• Curiosity: A genuine interest in consumer behavior and the world of sports, gaming, or betting.

Our Internship Program at a Glance

Our interns will work onsite at our West Midtown Atlanta location. 

Fall Program: September 8th  - December 11th

Included perks:

• Housing stipend for those interns relocating to Atlanta
• Frequent catered lunches
• Networking and collaboration with fellow interns and industry professionals
• Social events with the Atlanta PrizePicks team

You must be authorized to work for any employer in the U.S.  We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

PrizePicks is an Equal Opportunity Employer.  All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Working at PrizePicks:

The hourly rate for this position is $30/hr. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

We are looking for an inquisitive, highly analytical, and detail-oriented Data Analyst experienced in Revenue and Consumer Retention. This data-centric role is vital for building and maintaining analytics tools and workflows. Candidates who can flex their SQL skill set and analyze essential data to guide decision-making will stand out the most. A passion for solving problems around segmentation strategy, retention spend, A/B testing, and guiding profitable growth for the business are essential for success. You’re an excellent fit for this role if you’re comfortable managing projects simultaneously, working with a cross-functional team, and informing and influencing stakeholders with data and insights to drive outcomes.

What you’ll do:

• Own the topic of retention and revenue analytics through optimizing + tracking segmented reinvestment spend, creating key reports for leadership, and delivering actionable insights 
• Inform impact and drive high-level insights via a combination of always-on and periodic high A/B testing
• Develop data collection, data analysis, and business intelligence reporting systems to measure and inform business strategy for the Revenue Operations team
• Monitor metrics and perform detailed analysis, and keep key stakeholders informed on trends and areas of opportunity
• Understand how user trends impact high-level business KPIs to guide decision-making
• Create presentations and written documents with little guidance, and present to both technical and non-technical audiences in an effective way, articulating ideas and opinions clearly and efficiently
• Collaborate with decision-makers on the Revenue Operations team to understand their goals, and proactively identify opportunities to use data to develop new insights, guide strategy, and improve business results

What you have:

• 2+ years of Data Analytics experience in an ecommerce, direct-to-consumer or retail environment (marketing domain experience preferred)
• Advanced knowledge of SQL, including comfort with analytic functions, window functions, and common table expressions
• 2+ years’ experience using data visualization tools (Tableau preferred) & scripting languages (Python)
• Experience designing, analyzing, and interpreting A/B tests (including hypothesis development, test design, and measuring impact on key metrics such as retention, conversion, and revenue)
• Advanced ability to draw insights from analysis, supported by data, and clearly communicate them to stakeholders, including senior management
• Intellectual curiosity, and solid understanding in data sources and ecosystems, with the ability to see from the brand’s business lens
• Strong communication skills, both written and oral

Where you’ll live:

• This is a hybrid position based at our PrizePicks headquarters in Atlanta, GA. #LI-Hybrid

We are looking for a curious, detail-oriented Analyst to join our Acquisition Marketing Analytics team. In this role, you'll support the measurement and reporting infrastructure that helps our marketing team make smarter decisions.  You’ll also work to contribute to the learning agenda across incrementality and creative testing.  You're a great fit if you're comfortable working with data across multiple sources, excited about connecting analysis to real business outcomes, and thrive in a hands-on, fast-paced, data-driven environment.

What you’ll do:

• Build & maintain marketing performance dashboards and reports
• Automate recurring reporting & operational workflows to reduce manual effort and improve accuracy
• Support the management and QA for marketing data pipelines across paid channels
• Monitor day-to-day performance across acquisition channels, surfacing insights to marketing team stakeholders
• Support channel leaders in implementing incrementality tests and strategies
• Conduct deep-dive analyses to support media buying decisions with data-driven insights and recommendations

What you have:

• 2+ years of experience in data & analytics, specifically in a role supporting paid media channels
• Hands-on experience with digital channels, app-based acquisition, and MMP platforms strongly preferred
• Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer Science, or a related field
• Exceptional communicator with experience presenting to business stakeholders
• Ability to work with cross-functional partners (Marketing, Finance, Product)
• Strong project management
• Technical Skills:
  • Advanced SQL
  • Tableau (strongly preferred) or similar BI tool
  • Excel
  • Python (preferred for modeling, automation, or statistical analysis)

Where you’ll live:

• This is a hybrid position based at our PrizePicks headquarters in Atlanta, GA. #LI-Hybrid

We are looking for a technically rigorous, intellectually curious Senior Data Scientist to join our Acquisition Marketing Analytics team. In this role, you will own our most strategic measurement capabilities – including media mix modeling and always-on incrementality testing with paid partners – and use them to drive how we invest across acquisition channels.

You are the right fit if you have a strong foundation in causal inference and applied statistics, thrive at the intersection of data science and marketing strategy, and know how to turn complex model outputs into decisions that matter to the business.

What you’ll do:

• Own end-to-end media modeling (MMM), from data preparation and model development, to validation, calibration, and stakeholder delivery
• Design, launch, and maintain incrementality testing frameworks, in partnership with paid media partners, including geo-holdout and platform-native lift study designs
• Translate model outputs into actionable budget allocation and channel investment recommendations
• Partner with channel leads to develop and maintain a structured learning agenda across paid media
• Automate recurring measurement processes to improve accuracy, scalability, and speed-to-insight
• Contribute to raising the analytical bar across the team through code review, documentation, and knowledge sharing

What you have:

• 4+ years of experience in data science or quantitative analytics, with meaningful time spent supporting paid media or acquisition marketing
• Proven ownership of MMM end-to-end
• Hands-on experience designing and running incrementality tests, including experimental design, execution, and results interpretation
• Experience working in app-based or DTC acquisition environments strongly preferred; sports real money gaming industry background a plus
• Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer Science, or a related field.  Advanced degree preferred
• Exceptional communicator: able to explain modeling decisions and statistical tradeoffs to non-technical stakeholders
• Strong business judgment: you connect analytical outputs to commercial outcomes
• Collaborative: can act as a partner to Marketing, Finance, and Product teams, with experience working across functions to drive aligned decisions
• Comfortable with ambiguity, and able to scope and prioritize work independently
• Technical Skills
  • Python: proficiency in modeling, statistical analysis, and automation (pandas, numpy, statsmodels, PyMC or similar)
  • SQL: advanced, including complex transformations and pipeline logic
  • dbt: experience building and maintaining data models in a dbt environment
  • Open-source MMM frameworks (Robyn, Meridian): hands-on experience strongly preferred

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $120,000 to $170,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  4/17/2026