Senior Data Scientist — Causal Marketing & Incrementality

Flix; Lisboa; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Travel vouchers

Work from Anywhere up to 60 days ayear

Hybrid work model

Wellbeing support

Learning & Development

Mentoring Program

Job summary

Flix is seeking a Senior Data Scientist in its Commercial & Marketing Intelligence team to own causal measurement and run experiments that guide global marketing budget decisions. You will collaborate across Marketing & Sales, Revenue Management, Reporting and Engineering to translate findings into actionable guidance.

You will apply causal inference methods, build test-and-learn programs, develop attribution models, and present insights to senior management.

Qualifications

• Holds a Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field.
• Brings 5+ years of experience in a data science or quantitative research role, with hands-on expertise in designing and evaluating causal experiments such as geo experiments, time-series holdouts, or synthetic control studies.
• Demonstrate strong command of causal inference methods including difference-in-differences, synthetic control, Bayesian structural time series, or matched market testing.
• Proficient in Python, SQL, Power BI and experienced with statistical modelling libraries such as statsmodels, PyMC, CausalImpact, or equivalent tools.
• Comfortable with version control (Git), reproducible workflows, and cloud or data warehouse environments such as BigQuery or Snowflake.
• Proven ability to present statistical findings to non-technical audiences and contribute to strategic choices with data.
• Experience in marketing measurement, media mix modelling, or growth reporting is a plus — as is familiarity with Bayesian methods.

Responsibilities

• Own the design, execution, and continuous improvement of geo-based, time-based, and synthetic control experiment frameworks, ensuring methodological rigour and scalability across global markets and channels
• Apply econometric and causal inference techniques — including difference-in-differences, synthetic control, and Bayesian structural time series — to measure the true incremental effect of marketing activities on bookings and revenue
• Build and manage a structured test-and-learn programme across paid channels, identifying measurement gaps and prioritising experiments by expected business value
• Contribute to the development and validation of attribution models (CLV-MTA and MMM), providing reliable benchmarks that reduce reliance on platform self-reported data
• Translate complex causal findings into clear, actionable recommendations for a wide range of stakeholders including marketing teams, finance, and senior management
• Review experiment designs, create thorough documentation, and help shape internal standards for how Flix measures marketing effectiveness across all channels

Job description

Flix is seeking a Senior Data Scientist in its Commercial & Marketing Intelligence team to own causal measurement and run experiments that guide global marketing budget decisions. You will collaborate across Marketing & Sales, Revenue Management, Reporting and Engineering to translate findings into actionable guidance.

You will apply causal inference methods, build test-and-learn programs, develop attribution models, and present insights to senior management.