WHAT YOU WILL DO
- Lead, mentor and grow a team of 6–8 data scientists, driving hiring, performance reviews and career development
- Be responsible for the team’s technology and research roadmap for TV and streaming viewership measurement, panel weighting and audience segmentation
- Collaborate with engineering to productionize scalable data pipelines (Spark, Airflow, Databricks, BigQuery, etc.) and ensure reproducibility, monitoring and data quality
- Work with other data science teams and leaders to champion best practices — code reviews, modular architectures, documentation—and foster an environment of knowledge-sharing
- Present findings, strategic recommendations and opportunities to senior leadership and key external stakeholders
- Be an empowering team leader that fosters a culture of global excellence, collaboration, learning and growth
- Partner with global product, sales and analytics teams to ensure data science deliverables are on track and addressing the client needs
- Contribute hands-on as needed in model development (predictive, causal, hierarchical) for panel calibration, reach/frequency curves, attribution and propensity scoring
WHO YOU ARE
- Master’s or advanced degree in Statistics, Data Science, Computer Science, Mathematics or related quantitative field.
- 7+ years of hands-on data science experience, including 2+ years in a people-management or team-lead role
- Have demonstrated leadership in managing data science teams and end-to-end data science projects
- Strong programming skills in Python, SQL and familiarity with Spark or other distributed compute frameworks
- Experience with cloud platforms (Databricks, GCP, AWS) and MLOps tools (Docker, Airflow, CI/CD pipelines)
- 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
- Demonstrated ability to balance strategic vision with tactical execution in a fast-paced environment working in a fast-paced Agile environment
- Expertise in causal inference methodologies (synthetic control, uplift modeling, A/B testing) and Bayesian statistics a plus
- Background in multi-touch attribution across linear and CTV/OTT channels a plus
- Bonus: Strong knowledge or experience working with TV viewership data sources (ACR and STB data, web stream data and panel weighting techniques, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.)
Top Skills
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
