Senior Quantitative UX Researcher

1 Month ago • 5 Years + • Data Analyst

Job Summary

Job Description

PrizePicks seeks a Senior Quantitative UX Researcher to conduct complex analyses and translate findings into actionable insights. Responsibilities include designing and executing quantitative research using various methods (experiments, surveys), leveraging data to create compelling narratives, collaborating with cross-functional teams (Product Management, Design, Engineering, Analytics), and developing best practices within the product organization. The ideal candidate will possess strong statistical modeling skills, proficiency in SQL and R/Python, and expertise in survey design and analysis. They should also have a portfolio showcasing research impact and a passion for uncovering user needs.
Must have:
  • 5+ years UX Research/Data Science experience
  • Advanced statistical modeling skills (GLM, Bayesian)
  • Proficiency in SQL and R or Python
  • Expertise in survey design and analysis
  • Strong communication and storytelling abilities
Good to have:
  • Master's/PhD in relevant field
  • Experience with A/B testing
  • Passion for sports/DFS
Perks:
  • Company-subsidized medical, dental, & vision
  • 401(k) with company match
  • Bi-annual bonus
  • Flexible PTO
  • Generous paid leave
  • Workplace flexibility
  • Company events
  • Lifestyle enhancement program
  • Company equipment

Job Details

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 450 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? 

We’re seeking an experienced and thoughtful Senior Quantitative UX Researcher with a proven track record to join our team. The ideal candidate has a strong background in social science, survey research, log analysis, and statistical modeling and programming, along with a talent for telling a story with data.

In this role, you’ll conduct complex analyses and simplify findings into actionable insights and recommendations that enhance our product experience. You’ll collaborate with cross-functional teams, including Product Management, Design, Engineering, and Analytics, while also supporting our growing team of qualitative UX researchers!

We're looking for an authentic, confident individual who will:

  • Design, execute, and analyze quantitative research using a variety of methods (e.g., experiments, surveys) and statistical techniques.
  • Leverage quantitative data to craft compelling, actionable insights and strategic narratives, effectively communicating findings to key stakeholders through reports, storytelling, and presentations.
  • Work closely with Product Managers, Designers, Engineers, and other researchers to define key research objectives and questions, ensuring insights inform decision-making throughout the product lifecycle.
  • Collaborate with data and research teams (e.g., UX research, market research, business intelligence, consumer insights, and data science) to integrate diverse methodologies and synthesize insights for a comprehensive understanding of our users.
  • Develop, conduct, and promote best practices within the product organization, including experimentation (A/B testing), survey design, as well as defining and measuring product UX metrics.
  • Support the development and maintenance of a research roadmap that aligns with business goals, objectives, and priorities.
  • Have a passion for sports, daily fantasy, and/or real money games

What you have:

  • 5+ years of relevant experience in UX Research or Data Science (or a similar field)
  • Bachelor’s, Master’s, or PhD in Psychology, Economics, Neuroscience, Human Factors Engineering, Human-Computer Interaction, Computational Social Science, or equivalent work experience (advanced degree is preferred). 
  • A large general knowledge of probability and statistics as well as the ability to communicate to experts and educate non-experts. 
  • Advanced statistical modeling skills (e.g., GLM, Bayesian) on large datasets
  • Proficiency in SQL and R or Python
  • Expertise in survey writing, sampling, and analysis as well as experience with common survey tools (e.g., on-platform/intercept surveys, Qualtrics).
  • A portfolio of case studies highlighting your research and data analysis process in addition to the impact your work had on an organization, team, product, and/or feature.
  • A deep curiosity and passion for uncovering user needs, motivations, behaviors, and pain points.

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

 

Benefits you’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
  • Bi-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.

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