Growth Data Scientist

About the Role

As a Growth Data Scientist, you will be the quantitative driving force behind user acquisition, engagement, and seller activation, designing experiments and building models to inform product and growth strategies.

Responsibilities

• Ship business-critical analyses on usage, retention, and activation.
• Dive deep into data to improve foundational metrics.
• Audit and improve data infrastructure, document sources, and build pipelines.
• Own and refine core company dashboards to make insights accessible.
• Create a shared vocabulary across product and operations.
• Scale the analytics culture through education, process, and documentation.
• Work closely with product and operations on growth experiments and behavioral insights.
• Own continuous improvements to data quality, modeling, and warehouse efficiency.
• Collaborate with leadership on strategic questions like customer segmentation and pricing.

Requirements

• 3+ years in data science, analytics, or experimentation, ideally in high-growth startups or scale-ups.
• Strong quantitative skills: A/B testing, causal inference, regression, forecasting.
• Experience with ML/modeling (e.g., churn, LTV, propensity models).
• Proficient in SQL, Python/R; experience with event instrumentation and analytics tools.
• Experience building dashboards and tracking metric health.
• Excellent communication skills to explain insights across teams.
• Entrepreneurial mindset comfortable with ambiguity and fast iteration.
• Based in London and able to work from the Canary Wharf office 3 days per week.

Nice-to-Haves

• Familiarity with growth analytics tools (Amplitude, Mixpanel, DBT).
• Prior experience in e-commerce, marketplaces, or live video environments.

Our Stack

• Data & Infrastructure: Snowflake, S3, OpenSearch, AWS Lambda & Batch, Dagster, dbt
• Analytics & Experimentation: Amplitude, Appsflyer, Metabase
• Orchestration & Modelling: Dagster, dbt, experimentation layer