This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization.

Responsibilities:

Research Design & Scientific Inquiry

• Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health
• Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods
• Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives
• Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps
• Navigate research ethics considerations when studying employee data, ensuring responsible research practices

Employee listening & survey research

• Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys
• Apply psychometric methods to validate survey instruments and ensure measurement reliability
• Translate survey findings into strategic recommendations that drive meaningful organizational change

Manager research & organizational effectiveness

• Conduct research on manager behaviors, competencies, and their impact on team outcomes
• Build measurement frameworks to evaluate and improve manager effectiveness programs
• Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes

Visualization & communication

• Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences
• Present research findings to senior leadership with clear, actionable recommendations
• Develop self-service analytics capabilities that empower People team partners

You may be a good fit if you:

• Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
• Have 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise
• Have experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference
• Are comfortable working in the People Analytics tech stack and collaborating with data engineers
• Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning
• Have experience with survey design, psychometric methods, and employee listening programs
• Have experience with data visualization and can tell compelling stories with research findings
• Possess excellent communication skills and can influence stakeholders at all levels
• Thrive in ambiguity and can balance rigor with pragmatism
• Have a track record of challenging assumptions with data and changing long-held practices
• Can navigate sensitive topics diplomatically while maintaining analytical rigor
• Demonstrate intellectual humility and comfort with iterative discovery
• Use data to improve how organizations develop and support their people

Strong candidates may also have:

• Background in people analytics specifically (not just general analytics)
• Experience designing and analyzing employee engagement or pulse surveys
• Deep knowledge of manager effectiveness research and organizational science
• Experience building self-service analytics tools or dashboards
• Understanding of employee lifecycle metrics and people KPIs
• Previous experience in high-growth technology companies or AI/ML organizations
• Familiarity with network analysis, NLP, or advanced statistical methods
• Experience with BigQuery and modern data stack tools
• Experience with Qualtrics
• Experience with Workday

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $245,000-$310,000 USD

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Your responsibilities will include:

• Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health
• Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods
• Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives
• Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps
• Navigate research ethics considerations when studying employee data, ensuring responsible research practices

You will also be responsible for:

• Designing, analyzing, and iterating on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys
• Applying psychometric methods to validate survey instruments and ensure measurement reliability
• Translating survey findings into strategic recommendations that drive meaningful organizational change

Additionally, you will:

• Conduct research on manager behaviors, competencies, and their impact on team outcomes
• Build measurement frameworks to evaluate and improve manager effectiveness programs
• Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes

You will also be responsible for building compelling visualizations and dashboards that make complex research findings accessible to diverse audiences, presenting research findings to senior leadership with clear, actionable recommendations, and developing self-service analytics capabilities that empower People team partners.

If you have a background in people analytics, experience designing and analyzing employee engagement or pulse surveys, deep knowledge of manager effectiveness research and organizational science, experience building self-service analytics tools or dashboards, understanding of employee lifecycle metrics and people KPIs, previous experience in high-growth technology companies or AI/ML organizations, familiarity with network analysis, NLP, or advanced statistical methods, experience with BigQuery and modern data stack tools, experience with Qualtrics, or experience with Workday, you may be a strong candidate for this role.

The annual compensation range for this role is $245,000-$310,000 USD.

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Your work will ensure that every feature we launch is grounded in data-driven insight and meaningfully strengthens the connection between more than 700 million listeners and the creators they love.

Responsibilities:

• Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership
• Develop and own success metrics for generative music features and systems
• Design and analyze A/B tests and causal studies to evaluate product and model impact
• Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists
• Build scalable dashboards to monitor feature health and ecosystem impact
• Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality
• Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements
• Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows
• Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions

Who You Are:

• You have a degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field (or equivalent experience)
• You bring 4+ years of experience as a Data Scientist influencing product decisions through data
• You're highly proficient in SQL and Python and comfortable working with large-scale datasets
• You use AI-powered tools (e.g., Cursor, Copilot) to accelerate analysis and workflows
• You have strong product intuition and a results-focused perspective, you seek the 'why' behind the data
• You have experience with A/B testing, causal inference and advanced statistical methods, and exercise strong judgment in methodological choices
• You understand machine learning systems and can evaluate models beyond offline metrics, applying human judgment to quality and impact
• You thrive in ambiguous, zero-to-one environments and enjoy defining metrics & opportunities for entirely new product categories
• You're motivated by creating real value for music fans and music creators

Where You'll Be:

• We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
• This team operates within the Eastern Standard time zone for collaboration

Additional Information: The United States base range for this position is $110,018 - $157,169 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

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