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Senior Marketing Data Scientist (m/f/d)

Flix flix.com Open
Lisbon Full-time Senior Data Science

At a glance

Senior Data Science role at Flix. Lisbon · full-time.

Pay not stated Data Science salary

RoleData Science
SenioritySenior
LocationLisbon
EmploymentFull-time
PostedAug 13, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design and refine geo, time-based, and synthetic-control experiments so they work rigorously across markets and channels
  • Use causal methods to estimate how marketing affects bookings and revenue, beyond activity that would happen anyway
  • Run a paid-channel testing program, find measurement gaps, and rank experiments by expected business value
  • Help validate CLV-MTA and MMM models, using experiments as benchmarks against platform-reported results
  • Explain findings to marketing, finance, and senior leaders, while reviewing study plans and documenting measurement standards

What you bring

  • A master's or doctorate in a quantitative field such as statistics, econometrics, or data science
  • At least five years in data science or quantitative research, including hands-on causal experiment design and evaluation
  • Strong working knowledge of causal methods such as difference-in-differences, synthetic control, or another listed approach
  • Proficiency in Python, SQL, and Power BI, plus experience with statistical modelling libraries

Who this fits

This senior role suits someone who can lead causal measurement work and turn statistical evidence into decisions for technical and non-technical partners. The position is based in Lisbon and follows an office-first hybrid model, with the option to work from another location for up to sixty days per year.

From the employer

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

We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you! 

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.

If you’re ready to grow and lead your journey, Flix is the place for you!

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.