Data Scientist II

Tunnl is building a future where artificial intelligence enables organizations to connect meaningfully with the people who matter most. As a Data Scientist II, you will contribute to the development and improvement of machine learning systems that power audience intelligence, targeting, and measurement across television and digital channels.

Responsibilities:

• Build and improve machine learning models for audience targeting, lookalike generation, and individual propensity scoring
• Contribute across the ML lifecycle — from exploratory analysis and experimentation through production deployment and monitoring, within established team patterns and with guidance from senior data scientists
• Design and analyze experiments (A/B tests, holdout studies) to evaluate model performance and measure business impact
• Translate analytical findings into clear, concise communications for technical and non-technical audiences including product and customer success teams
• Engineer features from demographic, behavioral, and identity data — including handling missing values, encoding strategies, and data quality validation
• Write well-tested, documented, and maintainable code; participate in code reviews and contribute to improving team coding standards
• Partner closely with data engineers to ensure feature pipelines are reliable and well-documented, and work with product managers to align model outputs with business requirements
• Work with distributed computing (Spark/Databricks) and cloud data platforms (AWS, Snowflake) to build and contribute to production ML pipelines