2

Remote Sports Modeling Jobs in Georgia (NOW HIRING)

Lead Quantitative UX Researcher

Atlanta, GA ยท Remote

$150K - $185K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... Deep general knowledge of probability and advanced statistical modeling skills (e.g., GLM, multi ...

Remote - US Interested applicants must reside in one of the following approved states: Arizona ... Experience building scalable models and systems to support team growth * Successful track record ...

Key Account Coordinator

Atlanta, GA ยท Remote

$62K - $67K/yr

Remote Pay Transparency: The anticipated starting salary range is $62,000-67,000/yr. Salary to be ... Familiarity with or strong interest in digital analytics, attribution models, and data tracking ...

Senior Software Engineer

Atlanta, GA ยท On-site +1

$117K - $155K/yr

You'll also be a force multiplier for AI-assisted development on your team, modeling how to use ... Remote-ready, async-first. Most decisions happen in writing through Jira, Confluence, PR ...

Remote US - Portland, OR preferred (or West Coast) Interested applicants must reside in one of the ... Coach and develop project teams into strong 360 marketers; model inclusive leadership and build a ...

Remote, United States Role Overview At Uncapped, we help ambitious founders realize their dreams ... We leverage multiple data sources and use cutting-edge models to make credit decisions faster and ...

next page

Showing results 1-20

Remote Sports Modeling information

How does a Remote Sports Modeling professional typically collaborate with data scientists and analysts to improve predictive models?

In a Remote Sports Modeling role, collaboration with data scientists and analysts is essential for refining and validating predictive models. This often involves regular virtual meetings to review model performance, share insights from statistical analyses, and troubleshoot data discrepancies. Professionals in this field are expected to communicate complex modeling concepts clearly, incorporate feedback, and work iteratively to enhance model accuracy. Effective teamwork leads to more robust predictions and can directly impact decision-making for clients or organizations.

What is the difference between Remote Sports Modeling vs Remote Sports Commentating?

AspectRemote Sports ModelingRemote Sports Commentating
Required CredentialsModeling experience, portfolio, sometimes sports knowledgeSports knowledge, broadcasting skills, sometimes journalism background
Work EnvironmentHome studio, online platformsHome studio, live or recorded broadcasts
Employer & Industry UsageSports brands, marketing agencies, media companiesBroadcast networks, online streaming services, sports media

Remote Sports Modeling involves creating visual content or promotional images related to sports, focusing on modeling skills and sports familiarity. Remote Sports Commentating entails providing live or recorded commentary on sporting events, requiring sports knowledge and broadcasting skills. While both roles are remote and industry-related, they serve different functions: one is visual promotion, the other is live narration.

What is remote sports modeling?

Remote sports modeling involves using statistical techniques, data analysis, and predictive algorithms to forecast outcomes in sporting events, all while working from a remote location. Professionals in this field analyze historical data, player statistics, and other relevant variables to build models that predict scores, player performance, or game results. These models are often used by sportsbooks, teams, or analysts for decision-making and strategy development. The remote aspect allows for flexibility, enabling professionals to work from anywhere with internet access.

What are the key skills and qualifications needed to thrive as a Remote Sports Modeler, and why are they important?

To thrive as a Remote Sports Modeler, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a relevant degree in mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, experience with statistical software, and familiarity with sports data feeds and modeling tools are commonly required. Strong problem-solving, attention to detail, and clear communication skills help you interpret data and explain complex findings to stakeholders. These skills ensure accurate predictive models, effective collaboration, and valuable insights for sports analytics or betting organizations.
What are the most commonly searched types of Sports Modeling jobs in Georgia? The most popular types of Sports Modeling jobs in Georgia are:
What are popular job titles related to Remote Sports Modeling jobs in Georgia? For Remote Sports Modeling jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Sports Modeling jobs in Georgia look for? The top searched job categories for Remote Sports Modeling jobs in Georgia are:
What cities in Georgia are hiring for Remote Sports Modeling jobs? Cities in Georgia with the most Remote Sports Modeling job openings:
Infographic showing various Remote Sports Modeling job openings in Georgia as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
Lead Quantitative UX Researcher

Lead Quantitative UX Researcher

PrizePicks

Atlanta, GA โ€ข Remote

$150K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

hackajob is collaborating with PrizePicks to connect them with exceptional professionals for this role.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? 

Weโ€™re seeking an exceptional, experienced, and strategic Lead Quantitative UX Researcher with a proven track record to join our team. As a Lead Researcher, you will operate as an expert individual contributor who possesses deep domain mastery of quantitative user experience methodologies, advanced statistical profiling, and telemetry log analysis. You will play a critical role in guiding cross-functional teams to use data and user research effectively to achieve collective success and drive product evolution.

In this role, you will own the quantitative research strategy for major product areas, conducting complex, multi-method research studies and transforming large data volumes into compelling, actionable strategic narratives. You will collaborate closely with cross-functional partners, including Product Management, Design, Engineering, Product Analytics, and Consumer Insights, while also supporting and mentoring our growing team of qualitative and mixed-methods UX researchers.

What youโ€™ll do:

  • Own Research Strategy: Establish and execute the quantitative UX research roadmap and data strategy for major product lines, ensuring insights map directly to business priorities, core customer satisfaction (CSAT) indexes, and product goals.
  • Design and Conduct Complex Studies: Independently scope and spearhead advanced, multi-method quantitative research studies (e.g., A/B testing experimentation frameworks, complex on-platform surveys, MaxDiff, profiling, and behavioral modeling).
  • Craft Actionable Narratives: Synthesize complex log data and high-volume survey results into actionable insights and strategic storytelling artifacts that inform leadership decisions and de-risk high-stakes product discovery.
  • Cross-Functional Collaboration: Partner directly with Product Managers, Designers, and Engineers to identify research questions, define critical user journeys, and establish shared understandings early in the product life cycle.
  • Innovate Research Methodologies: Innovate within existing quantitative methodologies to improve team efficiency, operational pace, and user experience measurement capabilities.
  • Mentorship and Leadership: Actively mentor junior and mid-level researchers, advocating for evidence-based research rigor across the organization while guiding colleagues on survey design and quantitative fundamentals.
  • Promote Best Practices: Support the maintenance of internal insights repositories, democratize data tools across teams, and champion user experience metrics as direct predictors of core business outcomes.

What you have:

  • Experience: 8+ years of relevant applied experience in quantitative UX research, product data science, or an equivalent analytical consumer insights field.
  • Education: Bachelorโ€™s, Masterโ€™s, or PhD in Psychology, Economics, Neuroscience, Human Factors Engineering, Human-Computer Interaction (HCI), Computational Social Science, or equivalent work experience (an advanced degree is preferred).
  • Statistical Skills: Deep general knowledge of probability and advanced statistical modeling skills (e.g., GLM, multi-variable regression, Bayesian statistics) on large, unstructured datasets, alongside the ability to educate non-experts on data nuances.
  • Technical Proficiency: Expert proficiency in SQL and specialized applied programming packages such as R or Python for custom analytics and data manipulation.
  • Survey Domain Mastery: Comprehensive expertise in advanced survey writing, robust user sampling workflows, data stratification, and utilizing leading intercept deployment tools (e.g., Qualtrics, Dscout).
  • Impact Portfolio: A clear case study portfolio showcasing your end-to-end research execution, professional visual deliverables (e.g., charts, matrices, frameworks), and the measurable business or metric-driven impact your work yielded.

Where youโ€™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 $150,000 to $185,000. 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. Weโ€™re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  6/2/2026

Benefits youโ€™ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks: 

  • Company-subsidized medical, dental, & vision plans 
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

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.