FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in measurement and experimentation for customer activation and retention, utilizing SQL and Python for data analysis and model development. Proficient in designing experiments, applying causal inference methods, and managing stakeholder communications effectively.
Highest-signal resume keywords
SQLPythonExperiment DesignCausal Inference MethodsBraze
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Experiment DesignStatisticsDefensible Metric DesignClusteringSegmentationPredictive ModellingUplift ModellingData AnalysisAudience SegmentationChurn Scoring
Soft Skills
Stakeholder ManagementCommunicationCuriosityOwnership
Tools & Technologies
Power BITableauDatabricksBraze
Industry Keywords
Customer ActivationCustomer RetentionA/B TestingHistorical Data AnalysisNext-Best-Action Logic
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Own measurement and experimentation for customer activation and retention
- Join activation and retention initiatives before implementation across CRM, growth, and product
- Define primary metrics and assess detectability using historical data
- Design and analyse experiments end to end, including hypotheses, guardrails, audience splits, MDE, power, stopping rules, and readouts
- Correct for channel and engagement bias
- Apply causal inference methods when clean A/B testing is not possible, including diff-in-diff, matching, synthetic control, or geo designs
- Develop hypotheses and launch experiments across onboarding and the customer lifecycle
- Turn successful experiments into recurring segmented flows
- Build segmentation, propensity, churn, and dormancy scoring models
- Own next-best-action logic and measure its performance against current rules
- Automate audience refresh jobs, readout templates, and Activation, Onboarding, and Retention dashboards
- Ship models through scheduled Databricks jobs and integrate outputs with tools such as Braze
- Bring engagement data back into the warehouse
Requirements
What you’ll need- Strong SQL and Python
- Git-based warehouse workflow with code review
- Experiment design, statistics and defensible metric design
- BI experience with Power BI, Tableau, or similar
- Stakeholder management and business sense
- Ability to push back, reframe requests, and communicate recommendations to non-technical audiences
- Curiosity and ownership
- Causal inference methods and understanding of their validity (nice to have)
- Clustering and segmentation used in production (nice to have)
- Predictive modelling with honest validation; uplift modelling (nice to have)
- Braze or comparable CRM platform experience (nice to have)
Benefits
Comp & perks- Continuous personal and professional development opportunities
- Flexible travel and remote or hybrid work across Europe
- Stock Options Program available to every team member
- Constant support and care
- Work & Swim Program: one month in a corporate apartment in Cyprus