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?

We’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 you’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: Bachelor’s, Master’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 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 $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. 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:  6/2/2026

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
• 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.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

Join NICE’s Research Group and shape the next generation of AI for enterprise CX. As a Lead Data Science Researcher, you will own highimpact research initiatives across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs) and agenticAI systems.

You will combine deep handson technical work with leadership—setting direction, mentoring peers, and translating breakthrough ideas into reliable, productiongrade capabilities for NICE’s contact center solutions.

You will collaborate closely with researchers, engineers, product leaders, and subjectmatter experts to define strategy, validate research hypotheses, and lead the transition from experimental agentic systems to reliable, realworld deployments.

How will you make an impact?

Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems.

Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.

Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.

Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.

Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.

Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.

Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.

Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership.

Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.

Have you got what it takes?

Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.)

Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory).

Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks).

Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns.

Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined  analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.

Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.”

Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions.

Track record of translating research into reliable systems in partnership with engineering/product teams.

Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling.

Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval).

Excellent communication and mentoring skills; fluency in English.

You will have an advantage if you also have:

Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control.

Expertise in multimodal or vision‑based deep learning.

Operating experience with cloud ML at scale (AWS or equivalent).

Leading/mentoring globally distributed teams.

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10398

Reporting into: Group Lead, Data Science, CX

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

Join NICE’s Research Group and shape the next generation of AI for enterprise CX. As a Lead Data Science Researcher, you will own highimpact research initiatives across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs) and agenticAI systems.

You will combine deep handson technical work with leadership—setting direction, mentoring peers, and translating breakthrough ideas into reliable, productiongrade capabilities for NICE’s contact center solutions.

You will collaborate closely with researchers, engineers, product leaders, and subjectmatter experts to define strategy, validate research hypotheses, and lead the transition from experimental agentic systems to reliable, realworld deployments.

How will you make an impact?

Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems.

Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.

Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.

Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.

Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.

Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.

Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.

Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership.

Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.

Have you got what it takes?

Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.)

Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory).

Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks).

Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns.

Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined  analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.

Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.”

Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions.

Track record of translating research into reliable systems in partnership with engineering/product teams.

Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling.

Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval).

Excellent communication and mentoring skills; fluency in English.

You will have an advantage if you also have:

Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control.

Expertise in multimodal or vision‑based deep learning.

Operating experience with cloud ML at scale (AWS or equivalent).

Leading/mentoring globally distributed teams.

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10398

Reporting into: Group Lead, Data Science, CX

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Job Details:Director, R&D RBRO Solutions - Jonas Software (https://www.