Senior Data Scientist – Marketing Measurement & Causal Inference (m/f/d)

Félix; Lisboa; Híbrido; EUR 70 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Travel vouchers

Hybrid work

Wellbeing support

Learning & Development

Mentoring Program

Resumo da oferta

Flix is seeking a Senior Data Scientist to own causal measurement within the Commercial & Marketing Intelligence team, shaping how we allocate our global marketing budget.

You will collaborate with Marketing & Sales, Revenue Management, Reporting, and Engineering to design geo/time-based and synthetic control experiments and to advance attribution models; translate insights for senior stakeholders and help standardize measurement across channels.

Qualificações

• Holds a Master’s or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or related quantified field.
• 5+ years in data science/quantitative research focusing on causal experiments (geo, time-series holdouts, synthetic control).
• Proficient with Python, SQL, and BI tools; strong statistical modeling knowledge.

Responsabilidades

• Design, run, and improve geo/time-based and synthetic control experiments.
• Apply causal methods (DID, synthetic control, Bayesian CSTS) to measure marketing impact on bookings/revenue.
• Build test-and-learn program for paid channels and improve attribution models.
• Translate findings into clear recommendations for marketing, finance, and leadership.
• Document methodologies and help set internal standards for measurement across channels.

Conhecimentos

Causal inference

Python

SQL

Power BI

Git

Formação académica

Master's or PhD in a quantitative field

Ferramentas

Statsmodels

PyMC

CausalImpact

BigQuery

Snowflake

Git

Descrição da oferta de emprego

At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable.

As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an impact by owning and evolving our causal measurement practice — designing and running experiments that directly shape how we allocate our global marketing budget. You will work closely with a dedicated team across Marketing & Sales, Revenue Management, Reporting, and Engineering to ensure our incrementality evidence drives smarter, more transparent choices at scale.

About the Role

• 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

About You

• 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

What We Offer

• Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends & family.
• Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
• Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
• Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
• Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
• Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.

To view more local benefits specific to each office location, please check out this link: Locations - Flix Career

Why Join Flix?

At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
As we continue to expand across the globe, you can make a real difference in how we work.

We recognize that everyone carries a unique set of valuable skills and experiences.