Senior Data Scientist

Smadex is a performance advertising engine for mobile apps, enabling the world's leading marketers to grow across Mobile and Connected TV (CTV). Powered by cutting-edge data architecture and predictive analytics trained on real campaign outcomes, Smadex delivers profitable growth at scale. Headquartered in Barcelona, with teams across the Americas, EMEA, and APAC, Smadex is a business unit of Entravision (NYSE: EVC).

We are looking for a Senior Data Scientist to lead the analytics initiatives that underpin our core product and platform integrity. In this role, you will be the primary technical authority for Data Science for Product, owning the frameworks for data quality, accuracy, identity resolution, and incrementality measurement.

You will collaborate closely with Product Managers and Platform Engineers to ensure our analytical signals are accurate, our identity graphs are reliable, and our causal experiment frameworks deliver verifiable business value.

• →Product Data Integrity: Own and standardize the methodologies for data quality, statistical anomaly detection, and accuracy across billions of daily auction events.
• →Identity & Attribution: Investigate and design analytical methodologies around identity resolution, cross-environment matching, and privacy-first measurement frameworks.
• →Experimentation & Incrementality: Develop, validate, and standardize frameworks for A/B testing, causal inference, and incrementality testing to prove genuine marketing lift.
• →Product Partnership: Act as the dedicated Data Science counterpart for Product Managers, translating product roadmaps into rigorous analytical test beds and measurable KPIs.
• →Advanced Analytics: Write clean, modular SQL queries and Python scripts to prototype statistical solutions, diagnostic frameworks, and metric pipelines before handing them off to platform engineering.

• Master’s or Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
• 4+ years of professional experience in advanced data analytics, product analytics, or data science environments.
• Deep knowledge of applied statistics: causal inference, experiment design (A/B testing), regression analysis, and metric variance estimation.
• Advanced mastery of SQL and proficient data processing skills in Python or R (Pandas, NumPy, SciPy, Statsmodels).
• Demonstrated experience establishing data quality benchmarks, defining source-of-truth metrics, or working on identity/measurement models.
• Excellent communication skills, with an ability to justify statistical trade-offs and methodologies to product managers, engineers, and leadership.
• Prior experience in AdTech, programmatic bidding, or user identity frameworks is a strong plus, but strong product analytics experience from other data-intensive fields (e.g., e-commerce, fintech, marketplaces) is welcomed.
• Must be legally authorized to work in the United States without current or future sponsorship needs.