Senior Data Science Engineer

5+ years of experience in data science, analytics, or related roles—ideally in tech or product-led organizations.
Deep fluency in SQL and proficiency in Python or R.
Experience building causal and predictive models and working with large-scale behavioral datasets.
Experience with Adobe Analytics, Amplitude, Tableau / Power BI.
A strategic mindset with a bias for action and measurable outcomes.
Strong communication skills—you simplify complexity and drive clarity.

Lead high-priority analytics projects that influence product direction and business strategy.
Analyze user engagement, retention, and conversion data to surface actionable insights.
Own key growth, engagement and retention metrics, identifying behavioral patterns and strategic opportunities.
Build predictive and causal models to understand drivers of retention, product usage, and monetization.
Develop scalable frameworks for experimentation, measurement, and insight generation.
Design and analyze A/B tests to guide product development and optimize user experiences.
Design and implement automation and self-serve tools to increase the reach and efficiency of data science.
Collaborate with product, engineering, and enablement teams to ensure robust data instrumentation and measurement.
Translate data into narratives that inspire confident decision-making.
Mentor junior team members and elevate data culture across the org.

No preferred qualifications provided.