Join to apply for the Senior Data Scientist role at Tilt

Join to apply for the Senior Data Scientist role at Tilt

This range is provided by Tilt. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

About Tilt

We’re building the next century of shopping—making it feel human, communal, and alive again. E-commerce has spent decades optimizing for clicks, stripping away the trust, joy, and connection that once made shopping meaningful.

About Tilt

We’re building the next century of shopping—making it feel human, communal, and alive again. E-commerce has spent decades optimizing for clicks, stripping away the trust, joy, and connection that once made shopping meaningful.

We’ve recently raised an $18M Series A from the world’s best investors to build the next era of commerce. Now, we’re hiring elite builders to make it happen.

About The Role

As a Growth Data Scientist, you’ll own the quantitative engine behind user acquisition, engagement, and seller activation. You’ll design experiments, build models, and drive data-informed decisions across product and growth initiatives. You’ll work within our cross-functional Growth team, collaborating closely with marketing, product, design, and engineering.

In this role, you will:

0–3 Months

• Ship business-critical analyses on usage, retention and activation. Spot key signals to shape product direction
• Get curious, dive deep into our data to improve our foundational metrics
• Audit & improve data infrastructure, document data sources and build pipelines
• Own core company dashboards and refine them to make insights accessible to the full team.
• Create a shared vocabulary across products and operations (e.g., “active user,” “successful transaction,” etc.).
  
  

• Scale our analytics culture through education, process, and documentation. You’ll turn yourself into a multiplier
• Work closely with product and ops on growth experiments, operational bottlenecks, and behavioural insights
• Own continuous improvements to data quality, modelling, and warehouse efficiency
• Collaborate closely with leadership on strategic questions—customer segmentation, pricing experiments, expansion bets
  
  

• 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
• ML/modeling experience (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 communicator—can explain insights clearly to engineers, designers, marketers, and leaders
• Entrepreneurial mindset—comfortable in ambiguity and fast iteration
• Based in London, able to be in Canary Wharf 3 days/week
  
  

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

• Data & Infrastructure: Snowflake, S3, OpenSearch, AWS Lambda & Batch, Dagster, dbt
• Analytics & Experimentation: Amplitude, Appsflyer, Metabase
• Orchestration & Modelling: Dagster for pipelines, dbt for transformations, and a strong experimentation layer across tools.
  
  

• You’ll be joining a mission-driven team backed by world-class investors (TechCrunch)
• You’ll own meaningful systems from day one, with real scope and autonomy
• You’ll work alongside curious, kind, and wickedly smart teammates
• You’ll help redefine how millions of people shop online
  
  

• 29 days PTO in addition to UK Bank Holidays
• Canary Wharf office
• Gym membership
• MacBook and office budget
• Matched pension contributions
• 3 days a week in the office incl. Monday and Thursday
• Free dinner for late workers
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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