Data Scientist
Data Scientist responsible for strengthening analytics across growth, product, and marketing through behavioral analysis, experimentation, dashboards, and actionable recommendations. Requires strong SQL, Python, and statistical analysis skills, plus the ability to connect user behavior with growth and retention.
About the job
Responsibilities
- Work closely with growth, product, and marketing teams to identify key levers in the customer journey.
- Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions.
- Build dashboards, alerts, and automated reporting to keep teams informed and aligned.
- Design and analyze experiments, including A/B tests and growth tests, to inform strategy.
- Monitor data quality and collaborate with engineering to maintain data reliability.
- Leverage AI tools and automation to scale analysis and focus on high-impact questions.
- Translate data into clear, actionable narratives that drive product and business decisions.
Requirements
- Business-minded approach to analytics, including metrics frameworks, behavioral models, and hypothesis testing.
- Solid technical foundation in SQL, Python, and statistical analysis.
- Experience working with data at scale and translating it into insights.
- Deep curiosity about user behavior and the drivers of growth and retention.
- Ability to move between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations.
Technology
- React
- Golang
- Rust
- Cloudflare
- Google Cloud
- AWS
- Large language models
- GitHub Actions
- Grafana
- OpenTelemetry
- Terraform
Skills
SQL, Python, Statistical Analysis, A/B Testing, Hypothesis Testing, Behavioral Modeling, Funnel Analysis, Cohort Analysis, React, Go, Rust, GCP, AWS, Grafana, Terraform
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