Data Science Researcher

We are seeking a Senior Quantitative Researcher with over five years of applied quantitative experience and a strong background in statistics, econometrics, or computational finance. This role is focused specifically on advanced quantitative research rather than general data science. You will work on complex measurement challenges within a US-based client’s advertising business, involving everything from framing research questions to conducting rigorous studies and developing Python code to deliver actionable insights.

Key Responsibilities

- Translate broad business questions into precise, testable research hypotheses.
- Design studies and experiments tailored to the available data and business needs.
- Measure the contribution of individual advertising assets to revenue using attribution techniques, incrementality testing, and marketing mix modeling (MMM/MTA).
- Develop models for click-through rates, ranking dynamics, and market pricing.
- Establish continuous evaluation frameworks for advertising strategies to ensure decisions are data-driven rather than intuitive.
- Collaborate with engineering teams to implement research methods as production-level monitoring tools.
- Write production-quality Python and SQL code independently, maintaining reproducibility, version control, and code review standards.
- Present research findings clearly to non-technical stakeholders and confidently defend conclusions under scrutiny.
- Serve as the subject matter expert for advertising measurement within the team.

Required Qualifications

- Master’s or PhD degree in statistics, econometrics, applied mathematics, physics, computational finance, or a closely related quantitative discipline.
- A minimum of five years of hands-on quantitative research experience.
- Proficiency in Python (including pandas, statsmodels, scikit-learn) and SQL.
- Strong expertise in experimental design and causal inference, with a clear understanding of the limitations of each method.
- Demonstrated independent research capability through publications, open-source contributions, competition participation, or a professional portfolio.
- Excellent communication skills, with the ability to explain complex statistical results to non-technical audiences effectively.

Preferred Qualifications and Benefits

- Experience in markets, trading, pricing, ad-tech, or actuarial fields.
- Familiarity with time series analysis or Bayesian methods.
- Background in consulting or client-facing roles is advantageous.
- Benefits include gym, travel, and food allowances, annual certification support, paid time off and holidays, and bi-annual performance reviews with bonuses.

This position offers the opportunity to work on challenging problems at the intersection of quantitative research and advertising strategy, with a strong emphasis on rigorous methodology and clear communication. If you are passionate about applying advanced quantitative techniques to real-world business challenges and thrive in a collaborative environment, this role could be an excellent fit.