Senior Quantitative Researcher / Senior Data Scientist

Datum Labs; Lahore; Presencial; PKR 3 000 000 - 5 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Gym, travel and food allowance

Annual certification

Paid time off and holidays

Bi-annual performance reviews andBonu

Resumo da oferta

Datum Labs in Lahore, Pakistan, is seeking a Senior Quantitative Researcher/Senior Data Scientist focused on applied quantitative work. The role emphasizes design, measurement, modelling, and production-grade coding in Python and SQL.

The candidate will own advertising measurement questions, defend findings to senior executives, and collaborate with engineers to deploy production monitors. 5+ years of experience and advanced degrees are required.

Qualificações

• Master's or PhD in a quantitative field with strong theoretical grounding.
• 5+ years of applied quantitative work in analytics or research.
• Proven ability to design experiments and draw causal inferences.
• Strong Python and SQL programming skills with production experience.
• Excellent communication to explain results to executives.

Responsabilidades

• Translate business questions into testable research questions with rigorous designs.
• Measure asset contributions to revenue via attribution and incrementality.
• Model click-through, ranking dynamics, and pricing considerations.
• Write production-grade Python and SQL with reproducible workflows.
• Present findings to non-technical leaders and own the advertising measurement domain.

Conhecimentos

Python

pandas

statsmodels

scikit-learn

SQL

Experiment design

Causal inference

Communication

Formação académica

Master's or PhD in statistics, econometrics, applied mathematics, physics, computational finance or similar

Descrição da oferta de emprego

Senior Quantitative Researcher / Senior Data Scientist

Lahore (On-Site)

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.

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 (attribution and incrementality).
  • Model click-through and ranking dynamics, and market pricing.
• 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 executives 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, 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.

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

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

We turn complex data into clear insights. Our comprehensive data analytics services , from strategy to execution, drive business growth and innovation.

Office # 1 - Sheridan, WY, United States

Office # 2 - Block R1 Phase 1, Johar Town Lahore, Pakistan