Data Scientist Lisboa

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We’re looking for a Data Scientist to join our Data Tribe in Portugal to design, build, and deploy machine learning models that power intelligent systems across all our brands and markets.

You’ll own the journey from concept to production, partnering with Product, Engineering, Marketing, and Operations, to deliver
- driven solutions with real business impact in a
- moving
- tech environment.

What You’ll Do

• Develop, train, and optimize models for:
• Recommender systems that personalize customer experiences
• Supply/demand forecasting and resource optimization
• CLV and churn prediction for retention/reactivation
• Customer segmentation for personalization, pricing, and targeting
• Own the
  -
  - end lifecycle: development, validation, deployment, monitoring, and retraining.

Integrate modern AI

• Evaluate and apply emerging AI technologies, including LLMs and generative AI, to enhance internal processes and customer interactions.
• Design, run, and analyze A/B and multivariate tests.
• Champion a rigorous, scientific approach to
  - making.

Cross-functional collaboration

• Partner with Product, Engineering, Marketing, and Operations to solve
  - world problems.
• Translate complex model results into clear, actionable insights for
  - technical stakeholders.
• Apply MLOps principles to ensure scalable, reliable, and maintainable deployments.
• Collaborate on orchestration, monitoring, and retraining pipelines.

Data & AI literacy

• Share best practices and mentor junior data scientists.

Your Profile

Experience

• 3+ years in data science with a track record of shipping ML models to production and delivering measurable business outcomes.

Technical Proficiency

• Foundation in ML, statistical modeling, NLP,
  - series forecasting, and recommender systems.
• Proficient in Python and SQL;
  - on with
  - learn, XGBoost, Py
  Torch (or similar).
• Experience with data warehouses (e. g. , Snowflake), BI tools (e. g. , Looker), and model orchestration/deployment platforms.

Business Orientation

• Passion for solving business problems with data and proving impact through metrics.
• Ability to turn technical work into practical recommendations.
• Excellent
  - functional communication; influence decisions with data.
• Comfortable in Agile, iterative environments.

Benefits

• Hybrid work policy (remote + office).
• 22 annual leave days +2 days extra days for every year of tenure (up to 6).
• 5 training days per year.
• Private health insurance provided by Allianz.
• Food allowance of 7. 62€/worked day.
• 24/7 confidential employee assistance program.