Netflix is launching a new ad-supported tier and needs to build an in-house ad tech ecosystem to offer members more choices and attract new members at a lower price point, while also providing a path for advertisers to reach engaged audiences. The Core Ads Algorithms team is responsible for developing data-driven solutions for ad personalization to deliver relevant ad experiences and drive advertiser results.
Requirements
- Proficiency in SQL and at least one programming language (Python preferred).
- Experience with modern data warehousing (e.g., Redshift, BigQuery, Snowflake).
- Familiarity with data modeling, ETL frameworks, and analytics tools.
- Develop and maintain observability and monitoring solutions for machine learning models, ensuring model performance, reliability, and early detection of anomalies or drift.
- Enable A/B testing and experimentation by building robust data pipelines and providing accurate experiment tracking.
- Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility.
Responsibilities
- Partner with Data Engineers to design and implement robust data models and pipelines that enable richer, faster, and more accurate analysis.
- Design, build, and maintain scalable, self-service analytics tools and data products to drive adoption across the business.
- Develop, define, and maintain key metrics and dashboards for executive and business-critical reporting.
- Analyze and interpret data to understand and improve the efficiency of the ads marketplace, providing recommendations to optimize ad delivery, performance, and revenue.
- Develop and maintain observability and monitoring solutions for machine learning models, ensuring model performance, reliability, and early detection of anomalies or drift.
- Enable A/B testing and experimentation by building robust data pipelines and providing accurate experiment tracking.
- Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility.
Other
- A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 3+ years of experience in data engineering, data science, analytics engineering, or a similar data field.
- Strong communication skills and ability to translate business needs into technical requirements.
- Comfortable with ambiguity; able to thrive with minimal oversight and process
- Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.
- If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
