Senior Data Scientist, User Growth
Senior Data Scientist supporting user growth by embedding with product teams, guiding experimentation and data-informed decisions, and building analyses, dashboards, and scalable models. Requires strong quantitative communication, SQL, Python or R, machine learning, and a graduate degree or equivalent expertise.
About the job
Responsibilities
- Embed with product development teams to deliver data products and analyses that improve team outcomes.
- Collaborate with Product Management, Engineering, Design, Marketing, and Finance throughout product development.
- Prioritize and assess the ROI of Data Science opportunities within the assigned area.
- Translate complex findings into clear narratives for leadership and cross-functional partners.
- Influence strategic decisions through technical depth and effective communication.
- Develop analytical foundations for Growth, including definitions, methodological guidelines, and self-serve dashboards.
- Mentor and learn from other Data Scientists.
Requirements
- Experience working as a Data Scientist embedded with or supporting a product development team.
- Experience creating value from data in messy real-world settings.
- Exceptional written and verbal communication skills, with the ability to distill complex quantitative work into actionable insights.
- Graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodology.
- Strong command of SQL, Python or R, AI tools, and data/analytics engineering ecosystems.
- Fluency with standard machine learning and predictive modeling techniques.
Nice-to-haves
- Experience at a high-growth, data-intensive consumer technology company, particularly in user growth.
- Experience building, maintaining, and improving production machine learning models and supporting infrastructure.
Compensation
- Base salary range: $182,800–$247,300 USD.
- Equity compensation supplements the base salary.
Skills
SQL, Python, R, Artificial Intelligence, Machine Learning, Predictive Modeling, Data Analytics, Analytics Engineering, Data Products, Self-Serve Dashboards
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