Role Overview
The Data Scientist will lead the measurement of paid user acquisition, predict user lifetime value, and provide actionable insights to the CEO and marketing team. Reporting directly to the CEO, the Data Scientist will work closely with the Performance Marketing Lead and the Engineering team to evaluate campaigns, guide future testing, and take ownership of measurement systems and insights.
What You Will Do
The Data Scientist will build and maintain models to predict user lifetime value, identify high-performing user cohorts and campaigns, assess the reliability and uncertainty of performance results, and develop automated reporting to give clear, actionable insights to the CEO and marketing team.
Why It Might Be a Fit
The ideal candidate will have 5+ years of experience in Data Science or Analytics, a strong understanding of mobile attribution platforms, and experience building measurement systems and models that directly influence advertising spend.
Requirements
- 5+ years’ experience in Data Science or Analytics
- Proven experience building measurement systems and models that directly influence advertising spend
- Strong understanding of mobile attribution platforms
- Experience developing user lifetime value (LTV), payback or predictive value models
- Strong SQL and Python skills
- Experience working with cloud data warehouses (ideally Snowflake) and high-volume event data
- Excellent communication skills
- Strong analytical judgement
- Experience using modern analytical tools, including AI, and automating repetitive processes
- Confidence working with large, multi-channel paid advertising programmes
- A proactive, hands-on approach
To apply for this job please visit linkedin.com.
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