Role Overview
We are seeking an analytical, detail-driven Data Scientist to join our New York team. In this individual contributor role, you will focus on optimizing how we buy, deliver, and measure performance across Connected TV (CTV) inventory.
What You Will Do
You will dig into massive volumes of streaming and programmatic bidstream data, diagnosing performance bottlenecks, testing buying strategies, and providing actionable recommendations to maximize ROAS and campaign scale for our advertising partners.
Why It Might Be a Fit
You will work closely with the US Data Lead and Machine Learning team to validate hypotheses and measure the commercial impact of optimization changes.
Requirements
- Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related)
- 1–2 years of professional experience analyzing large datasets (internships or relevant analytical projects included)
- Strong SQL proficiency (complex joins, window functions, query optimization on massive databases)
- Practical experience working in Python or R for data wrangling, exploratory statistical analysis, and visualization
- Solid understanding of foundational statistics (distributions, correlation vs. causation, hypothesis testing)
- Curious, proactive mindset with strong problem-solving skills and attention to data edge cases
Benefits
- Medical, dental, and vision benefits plans
- Great compensation package tailored to the U.S. market
To apply for this job please visit smadexslu.applytojob.com.
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