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# Senior Data Scientist - Marketing Measurement & Causal Inference

- **Company:** Flix
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** BigQuery, Cloud Computing, Data Warehousing, Python (Programming Language), Power BI, SQL Databases, Snowflake, Git, Statistics Packages, Software Version Control
- **Published:** August 19, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pdl59hhj5k

## About the Role

* 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

## Description

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., * 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


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