FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative UX research, statistical analysis, and experimental design, with a strong focus on AI/ML modeling techniques and collaboration across product, design, and engineering teams. Proven ability to translate complex findings into actionable insights for executive stakeholders while managing multiple research streams in a dynamic environment.
Highest-signal resume keywords
Quantitative UX ResearchStatistical AnalysisExperimental DesignSQL and Python or RAI/ML Modeling Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative UX ResearchStatistical AnalysisExperimental DesignMultivariate TestingCausal InferencePredictive ModelingNatural Language ProcessingRecommendation System EvaluationSQLPython or R
Soft Skills
Executive CommunicationStorytellingProject Management
Certifications & Qualifications
Bachelor’s Degree in Statistics, Data Science, Human Computer Interaction, Computer Science, Psychology, or Related FieldAdvanced Degree Preferred
Industry Keywords
Streaming MediaConsumer TechnologyDigital ProductPersonalization EnginesAlgorithmic Systems
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead quantitative UX research and causal inference across Pluto TV and Paramount+
- Use multivariate testing, quasi-experimental methods, and statistical modeling
- Measure product performance, team collaboration, and customer satisfaction, and identify improvements
- Partner with the A/B testing team using experiment results and infrastructure
- Evaluate and improve recommendation algorithms and other AI/ML product systems
- Validate model outputs, identify failure modes, and quantify user impact
- Own the research roadmap for an assigned product portfolio area
- Partner with product, design, engineering, business, and data science stakeholders to define priorities and plans
- Report progress and priorities to the SVP, Streaming Research and Insights
- Apply predictive modeling, machine learning-supported analysis, and AI-assisted qualitative-data synthesis
- Lead interviews, usability testing, and diary studies to complement quantitative research
- Translate complex findings into recommendations for senior, executive, product, engineering, and data science stakeholders
- Shape product and technical roadmaps
- Provide technical mentorship on experimental design, statistical rigor, and research best practices
Requirements
What you’ll need- Extensive experience in quantitative UX research, experimentation, or applied data science in a consumer technology, streaming, or digital product company
- Proven record of leading complex research programs relying on statistical analysis
- Bachelor’s degree in Statistics, Data Science, Human Computer Interaction, Computer Science, Psychology, or a related quantitative field
- Solid background in experimental design and causal inference
- Skills in multivariate testing and quasi-experimental methods
- Strong statistical skills to validate and defend results to executives
- Technical proficiency in SQL and Python or R
- Hands-on experience applying AI/ML modeling techniques, such as predictive modeling, natural language processing, or recommendation system evaluation
- Demonstrated experience evaluating and improving algorithmic systems in partnership with engineering and data science teams
- Experience with recommendation or personalization engines
- Ability to turn ambiguous questions into quantitative research plans
- Ability to define scope, execute research, and defend methodology with minimal oversight
- Excellent executive communication and storytelling skills
- Ability to manage multiple concurrent research and experimentation streams in a fast-paced, evolving office environment
- Advanced degree such as a master’s or PhD strongly preferred
- Experience with recommendation systems at scale, ranking algorithms, or generative AI and large language model evaluation
- Awareness of streaming media, entertainment, or subscription and advertising-supported business models
- Experience building or scaling a research or experimentation function, including tooling, panels, or infrastructure
Benefits
Comp & perks- Attractive compensation and comprehensive benefits packages
- Generous paid time off
- Opportunities for both on-site and virtual engagement events
- Opportunities to make meaningful connections and build a vibrant community inside and outside the workplace