Senior Data Scientist – Measurement

Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.

Reporting to the VP of Data Science, as the Senior Data Scientist on our Measurement Sciences team, you will design and operationalize robust measurement frameworks—leveraging causal inference, experiment design, and advanced machine learning—to deliver transparent, actionable insights on ad incrementality, audience targeting, and cross-platform attribution. You will provide thought leadership and help guide the transformation of how advertisers measure, attribute, and optimize TV campaigns across linear and streaming platforms.

• Design and implement ad incrementality measurement methodologies (A/B tests, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and Connected TV (CTV) campaigns  
• Develop globally scalable audience segmentation and targeting models using our viewership data ecosystem via millions of connected TVs
• Build and validate multi-touch attribution frameworks that reconcile impressions, views, and conversions across linear, CTV, OTT, and digital channels  
• Lead the full analytics lifecycle—from data ingestion/ETL (SQL, Spark, Python) through feature engineering, model development, evaluation, and production deployment  
• Partner closely with data engineering and DevOps teams to operationalize models in our cloud platform and ensure data quality, security, and scalability  
• Translate complex analytical findings into clear, concise presentations and dashboards for internal stakeholders and external clients, driving strategic decision-making. 
• Support sales and marketing teams with the development of strong positioning stories to highlight the value of our audience media and measurement opportunities
• Mentor junior data scientists and analytics engineers, fostering best practices in experimentation, code quality, and reproducibility  

• Have a Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field  
• 7-10 years of hands-on experience in advertising/marketing analytics, media measurement, or a closely related discipline  
• Expert in causal inference techniques (RCT design, difference-in-differences, propensity scoring, synthetic control) and uplift modeling. Background in Bayesian statistics or hierarchical modeling for uncertainty quantification  
• Have a proven track record building attribution and incrementality solutions for TV and cross-media campaigns  
• Have advanced programming skills in Python and SQL; Familiarity with Spark or other distributed compute frameworks  
• Have demonstrated leadership in mentoring small data science teams and managing end-to-end data science projects
• Able to visualize data in a way that makes it easy for others to understand
• Are detail-oriented, highly organized, and proactive
• Have strong verbal and written communication skills, with the ability to explain complex analyses to both technical and non-technical audiences  
• Thrive in a dynamic, fast-paced Agile and global environment, and being a team player
• Experience with data platforms (Databricks, Sagemaker, BigQuery, etc.), data orchestration tools (Airflow, dbt) and CI/CD best practices a plus
• Bonus: Strong knowledge or experience working with TV viewership data sources (set-top box, return-path, panel, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.)
• Bonus: Track record of publishing research and white papers or presenting at industry conferences
  

Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

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