Senior Quantitative Researcher / Senior Data Scientist

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. The ideal candidate becomes the domain owner that the engineering team builds around, and can defend findings in front of senior executives.

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Scope of Work:

1. Research Design
   
   • Turn loose business questions into testable research questions.
   • Design studies and experiments, and choose methods that fit the data available.
2. Measurement & Modelling
   
   • Measure how individual advertising assets contribute to revenue (attribution and incrementality).
   • Model click-through and ranking dynamics, and market pricing.
3. 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.
4. Hands-on Analysis
   
   • Write production-quality Python and SQL directly, with no handoff to an analyst.
   • Keep analysis reproducible, versioned and reviewable.
5. Communication & Domain Ownership
   
   • Present findings to non-technical executives and defend conclusions under hard questions.
   • Act as the domain owner for advertising measurement across the team.

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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, statsmodels, 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.

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Good to Have:

• Experience in markets, trading, pricing, ad-tech or actuarial work.
• Time series or Bayesian methods.
• Experience working in a consulting or client-facing delivery environment.

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Perks & Benefits:

• Gym, travel and food allowance
• Annual certification
• Paid time off and holidays
• Bi-annual performance reviews and bonuses

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How to Apply:

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position. Fill out the form here!

Datum Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.