Lead Data Scientist- Research

We are hiring a Senior Quantitative Researcher with 5+ years of applied quantitative experience and a background in statistics, econometrics or computational finance. This is not a general data science role.

The role involves the hardest measurement questions in a US-based client's advertising business: framing the question, running a rigorous study, and writing the Python to answer it.

Day to day, this means measuring how advertising assets contribute to revenue, modelling click-through and ranking dynamics, and building continuous evaluation of ad strategy.

Scope of Work: Research Design

Turn loose business questions into testable research questions.
Design studies and experiments, and choose methods that fit the data available.

Measurement & Modelling

Measure how individual advertising assets contribute to revenue through attribution, incrementality testing and marketing mix modelling (MMM/MTA).
Model click-through and ranking dynamics, and market pricing.

Continuous Evaluation

Set up ongoing evaluation of ad strategy so decisions rest on evidence, not instinct.
Work with engineers to turn research methods into production monitors.

Hands-on Analysis

Write production-quality Python and SQL directly, with no handoff to an analyst.
Keep analysis reproducible, versioned and reviewable.

Communication & Domain Ownership

Present findings to non-technical audience and defend conclusions under hard questions.
Act as the domain owner for advertising measurement across the team.

Must Haves:

Master's or PhD in statistics, econometrics, applied mathematics, physics, computational finance or a similar quantitative field.
5+ years of applied quantitative work.
Strong Python (pandas, stats models, scikit-learn) and SQL.
Solid experiment design and causal inference, including where each method breaks down.
Evidence of independent research: papers, open-source contributions, competition work or a portfolio.
Excellent communication, with the ability to explain statistical results to non-technical leaders.

Good to Have: