Senior Data Scientist

Senior Data Scientist leading commercial data science work, building models to drive revenue in retail and hospitality sectors at Planet.

Posted 6/7/2026full-timePorto • 🇵🇹 PortugalSeniorWebsite

Tools & technologies

AWSCloudPandasPythonScikit-LearnSQL

Key responsibilities & impact

Build, deploy, and iterate on customer churn prediction models
Identify leading indicators, segment at-risk cohorts, and work with Customer Success on retention playbooks
Develop propensity models and next-best-action recommendations to help commercial teams prioritise accounts and product conversations
Design attribution frameworks across marketing channels, sales motions, and product touchpoints
Build the data products that let leadership see what's actually driving revenue
Design and analyse A/B tests and quasi-experiments for commercial initiatives
Take models from notebook to production
Translate ambiguous commercial questions into well-scoped analytical problems
Communicate findings clearly to non-technical audiences

What you’ll need

5+ years in applied data science, with experience on commercial problems (churn, LTV, propensity, attribution, pricing, or similar)
Strong SQL and Python (pandas, scikit-learn, statsmodels)
Comfortable building production-grade code, not just notebooks
Hands-on experience with Snowflake (or a comparable cloud data warehouse)
Experience deploying models on AWS (SageMaker, Lambda, ECS, or similar)
Solid grounding in statistics, experimentation, and causal inference
Track record of shipping models that are actually used by the business
Excellent communication skills

Comp & perks

ATS Keywords

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Hard Skills & Tools

data sciencecustomer churn predictionpropensity modelsA/B testingSQLPythonpandasscikit-learnstatsmodelsstatistics

Soft Skills

communicationproblem-solvinganalytical thinking