As a senior, hands-on member of the team, you will be a go-to expert. While you'll guide and mentor other data scientists, your primary focus will be on leading by example: executing on high-impact projects that define our competitive edge and directly influence our revenue. You'll contribute to the roadmap, not just follow it.
What Youll Do
Architect & Build: Lead the architectural design and hands-on implementation of our most critical ML models, tackling complex challenges in auction dynamics, user valuation, and more at a massive scale.
Influence Strategy: Contribute to and influence the data science roadmap in collaboration with Product and Engineering, ensuring our efforts are focused on maximum business impact.
Outsmart the Competition: Lead the charge in our high-stakes auction environment where your models edge creates outsized financial returns. You will design and own the experimentation framework to prove your impact.
Elevate Our Technical Bar: Set best practices for modeling and coding, and mentor other data scientists through complex technical challenges, code reviews, and model design sessions.
You have a 4+ year track record of personally driving end-to-end data science projects that delivered significant, measurable business value.
An MSc or PhD in a quantitative field (e.g., Computer Science, Data Science, Mathematics) is a firm requirement for this role.
You have demonstrated experience mentoring data scientists and guiding projects from a technical standpoint, leading by example.
You are a strong communicator and leader, capable of influencing the team's technical direction and clearly articulating complex results to business stakeholders.
You have a deep, intuitive understanding of the Ad-Tech ecosystem, with a strong perspective on auction dynamics and how to exploit market inefficiencies.
You possess expert-level knowledge of machine learning, statistics, and experimental design, paired with expert coding skills in Python and SQL.
You have a "nose for value" and the self-motivation to consistently connect your technical work to commercial outcomes.
Expertise with Spark or other Big Data technologies is essential for success at our scale.
