Lead Data Scientist – Research

About the role

We are looking for a Senior Quantitative Researcher to tackle the toughest measurement challenges for a US‑based client’s advertising business. You will design rigorous studies, build models, and develop production‑grade Python code to quantify how ad assets drive revenue.

Key responsibilities

• Translate business questions into testable research designs and select appropriate experimental methods.
• Measure advertising contribution through attribution, incrementality testing, and marketing mix modelling.
• Model click‑through rates, ranking dynamics, and market pricing.
• Implement continuous evaluation pipelines and collaborate with engineers to deploy monitoring tools.

Required profile

• Master's or PhD in statistics, econometrics, applied mathematics, physics, computational finance or a related field.
• 5+ years of applied quantitative experience with strong experiment design and causal inference skills.
• Proven record of independent research (papers, open‑source work, competition results, or portfolio).
• Excellent communication ability to present findings to non‑technical stakeholders.

Required skills

• Python (pandas, statsmodels, scikit‑learn).
• SQL.

What we offer

• Gym, travel and food allowance.
• Annual certification, paid time off and holidays.
• Bi‑annual performance reviews and bonuses.