Senior Data Scientist – Advertising & Measurement

Is this you?

MAKE THINGS HAPPEN:

Are you ready to unleash your potential? We're on the lookout for driven individuals who thrive on setting ambitious goals, taking ownership, and working with a relentless sense of urgency to achieve remarkable results.

NO EGO:

Our company embraces a culture of humility at all levels. We value collaboration and making decisions that benefit the greater good. We appreciate individuals who bring honesty, respect, and professionalism to the table. We work shoulder to shoulder because we’re re-thinking TV together!

SHOW GENUINE PASSION:

Passion is the secret ingredient to our success! We're searching for people who are not just passionate, but genuinely obsessed with their work. If you're the type to devour the latest articles, spend your free time researching and taking courses, and constantly seek ways to grow and learn, then you'll fit right in. Our passionate individuals learn fast, work hard, and inspire those around them with their positive energy.

Culture and environment are at the heart of our ethos. If the above resonates with you, keep reading because we believe you could be a perfect addition to our incredible team!

Company Overview

We are a new and innovative CTV OS challenging the status quo by working with a market leading OEM to provide content discovery for streaming platforms, as well as integrating FAST channels alongside traditional broadcast TV channels. We are gearing up for rapid expansion across European markets.

Position Summary

We are seeking a highly skilled Senior Data Scientist to join our Data team and lead the measurement of digital advertising performance across Connected TV (CTV) platforms. This role is focused on understanding and attributing CTV ad exposure to consumer actions across mobile, web, and in-store conversions. You'll help build and refine our measurement capabilities, enabling advertisers to optimize their CTV investments with confidence.

Key responsibilities

• Design and implement conversion attribution models to measure the impact of CTV advertising on user behavior across devices and channels.
• Lead incrementality testing and causal inference analysis to distinguish true ad lift from correlated outcomes.
• Collaborate with engineering to define and validate cross-device identity graphs and exposure-to-outcome linkages.
• Work with product and media teams to interpret results and drive advertising performance strategy.
• Analyze large-scale datasets from TV ad exposure logs, mobile/web events, and offline retail/POS systems.
• Present insights to internal stakeholders and external partners in a clear and actionable way.

Qualifications

• 5+ years of experience in data science, analytics, or measurement roles.
• Strong experience with CTV or linear TV advertising, ideally including programmatic and addressable formats.
• Proven expertise in multi-touch attribution, lift modeling, geographic/household-based experimentation, and identity resolution.
• Strong programming skills in Python or R, and SQL. Familiarity with Data Orchestration Tools (DBT, Dagster, Airflow) is a plus.
• Deep understanding of statistical methods including Bayesian modeling, causal inference (e.g., difference-in-differences, propensity scoring), and time-series analysis.
• Familiarity with data from Smart TV OS platforms, device graphs, and digital advertising industry measurement partners.
• Excellent communication skills and the ability to translate complex findings into business decisions.
  

Reasons to apply:

• Change the future of TV! A unique opportunity to join a well-funded, high-growth company in the early stages to help shape a product/business that will impact millions.
• Opportunity to work outside of your comfort zone & develop professionally in an exciting & rapidly growing video streaming industry.
• Work in a diverse & international environment.

If you're excited about this position, don’t hesitate to apply. We’re waiting for you to join us!