- Company Name
- Samba TV
- Job Title
- Senior Data Scientist, Measurement
- Job Description
-
**Job Title**
Senior Data Scientist, Measurement
**Role Summary**
Lead the design, implementation, and operationalization of advanced measurement frameworks for TV and streaming advertising. Apply causal inference, experimentation, and machine‑learning techniques to quantify ad incrementality, audience targeting effectiveness, and cross‑platform attribution. Deliver actionable insights to clients and internal stakeholders while guiding a small team of data scientists and ensuring models scale in a cloud environment.
**Expectations**
- Deliver rigorous, transparent measurement solutions for linear TV and CTV campaigns.
- Translate complex analytics into clear, data‑driven stories for business leaders and clients.
- Mentor junior talent and enforce best practices in experimentation, code quality, and reproducibility.
- Collaborate with engineering, operations, and product teams to maintain data quality, security, and scalability.
**Key Responsibilities**
- Design and implement ad incrementality methodologies (A/B testing, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and CTV.
- Develop scalable audience segmentation and targeting models using large‑scale viewership data.
- Build and validate multi‑touch attribution frameworks integrating impressions, views, and conversions across linear, CTV, OTT, and digital channels.
- Own the full analytics lifecycle: data ingestion/ETL (SQL, Spark, Python), feature engineering, model development, evaluation, and production deployment.
- Partner with data engineering and DevOps to operationalize models in a cloud platform and uphold data quality, security, and scalability.
- Produce dashboards and presentations that distill insights for technical and non‑technical audiences.
- Support sales/marketing teams with positioning stories that showcase measurement value.
- Mentor and lead a small data science team, promoting experimentation, code quality, and reproducibility.
**Required Skills**
- Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field.
- 7–10 years of experience in advertising/marketing analytics, media measurement, or related discipline.
- Deep expertise in causal inference (RCT design, difference‑in‑differences, propensity scoring, synthetic control) and uplift modeling; background in Bayesian or hierarchical modeling for uncertainty quantification.
- Proven track record building attribution and incrementality solutions for TV and cross‑media campaigns.
- Advanced Python and SQL programming; familiarity with Spark or distributed compute frameworks.
- Experience with cloud data platforms (Databricks, SageMaker, BigQuery, etc.) and orchestration tools (Airflow, dbt).
- Strong data visualization skills that communicate insights to diverse audiences.
- Excellent verbal and written communication; ability to explain complex analyses to non‑technical stakeholders.
- Detail‑oriented, organized, proactive; thrives in agile, fast‑paced, global environment.
- Leadership experience mentoring small teams and managing end‑to‑end data science projects.
**Required Education & Certifications**
- Master’s degree or higher in Statistics, Econometrics, Data Science, Computer Science, or related field.
- Valid certifications in data science or analytics (e.g., SAS, Cloudera, AWS, GCP) are a plus but not mandatory.