<p style="line-height: 1.4;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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. </span></p> <p style="line-height: 1.4;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">As a Senior Data Scientist in our<span class="NormalTextRun SCXW235872977 BCX8"> </span><span class="NormalTextRun SCXW235872977 BCX8">Commercial & </span><span class="NormalTextRun SCXW235872977 BCX8">Marketing Intelligence team </span>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.</span></p> <p><span style="font-size: 24pt;"><strong data-renderer-mark="true">About the Role</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Build and manage a structured test-and-learn programme across paid channels, identifying measurement gaps and prioritising experiments by expected business value</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Contribute to the development and validation of attribution models (CLV-MTA and MMM), providing reliable benchmarks that reduce reliance on platform self-reported data</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Translate complex causal findings into clear, actionable recommendations for a wide range of stakeholders including marketing teams, finance, and senior management</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Review experiment designs, create thorough documentation, and help shape internal standards for how Flix measures marketing effectiveness across all channels</span></li> </ul> <p><span style="font-size: 24pt;"><strong>About You</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Holds a Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">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</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Demonstrate strong command of causal inference methods including difference-in-differences, synthetic control, Bayesian structural time series, or matched market testing</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proficient in Python,SQL, Power BI and experienced with statistical modelling libraries such as statsmodels, PyMC, CausalImpact, or equivalent tools</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Comfortable with version control (Git), reproducible workflows, and cloud or data warehouse environments such as BigQuery or Snowflake</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proven ability to present statistical findings to non-technical audiences and contribute to strategic choices with data</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience in marketing measurement, media mix modelling, or growth reporting is a plus — as is familiarity with Bayesian methods</span></li> </ul> <p style="line-height: 1.4;"><span style="font-size: 12pt;">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! </span></p> <p><span style="font-size: 24pt;"><strong>What We Offer</strong></span></p> <ul> <li data-renderer-start-pos="11445"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Travel perks</strong>: 12 free Flix vouchers + 12 discount vouchers for friends & family. </span></li> <li data-renderer-start-pos="11530"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Work from (M)Anywhere</strong>: Depending on your role, work from another location for up to 60 days per year. </span></li> <li data-renderer-start-pos="11636"><span style="font-size: 12pt;"><strong data-renderer-mark="true">Hybrid work model</strong>: We are an office-first company, but we offer flexibility to balance work and life. </span></li> <li data-renderer-start-pos="11742"><span style="font-size: 12pt;"><strong dat