Senior Data Scientist– Pricing

What you will do

• Advance the causal inference components of our pricing system: price elasticity estimation (double/debiased ML, heterogeneous treatment effects), uncertainty quantification, and optimization logic.
• Design, run, and analyze experiments and quasi-experiments (A/B tests, diff-in-diff, synthetic control) to measure the impact of pricing and process interventions, including where clean randomization isn't possible.
• Translate methodological improvements into production-ready Python code, with tests, documentation, and adherence to team engineering standards.
• Contribute to the operational health of our production systems: incident support, model monitoring, and periodic retraining and validation cycles.
• Communicate findings and recommendations to technical and business stakeholders across time zones.

What you bring

• 4–5+ years of professional experience in data science, econometrics, or quantitative research, ideally with exposure to pricing, revenue management, or marketplaces.
• Strong grounding in causal inference and experimental design: potential outcomes framework, DML/orthogonalization, CATE estimation, instrumental variables, panel methods.
• Solid applied ML skills (gradient boosting, regularized regression) and the statistical judgment to know when a predictive model answers a causal question — and when it doesn't.
• Proficient Python for production: clean, testable, maintainable code; comfortable with the scikit-learn ecosystem, Git-based workflows, and code review.
• Hands-on experience with Databricks (or comparable cloud data platforms) for development and deployment.
• Proactive, self-directed working style: you reach out early when blocked, over-communicate in a distributed team, and don't wait for co-location to collaborate.
• Fluent English; comfortable working with predominantly CET-based colleagues.

Nice to have

• Experience with EconML, DoWhy, or similar causal ML libraries; conformal prediction.
• Effective use of GenAI tools for coding and research — our team works extensively with AI coding assistants (e.g., Codex, GitHub Copilot) as part of daily development.
• B2B pricing domain knowledge (quotes, deal negotiation, discounting, channel dynamics).
• Advanced degree (MSc/PhD) in economics, statistics, or a quantitative field.

Education

• Full time Master's degree, PhD/Doctorate will be added advantage (not mandatory)

#LI-POST

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

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