Posted 7d ago
Data Scientist, Pricing
Posted 10d agoBe an early applicant
What this role pays, in context
This listing does not state its pay. Data Scientist roles in India currently advertise a median of ₹24K a month.
25th pct ₹20.6K75th pct ₹27.1K
Median of 12 other live Data Scientist listings in India on this board that state pay. Roles that do not disclose a salary are excluded rather than counted as zero.
About the role
Pricing sits at the point where margin, conversion and customer trust all pull against each other. You will build the models that set discount depth, decide which items get a delivery-fee waiver, and forecast the demand effect of a campaign before we run it.
What the work involves
Most of it is elasticity estimation, causal inference and experiment design, not deep learning. We run a lot of experiments, and a large part of your job is making sure they are designed well enough to be worth running, and read honestly afterwards.
You will work alongside a pricing product manager and two engineers who put your models into production. The models have to be explainable, because a category head will ask why an item was discounted and a shrug is not an answer.
What we look for
Three to six years in an applied data science role with real experiment design experience. Strong SQL and Python are assumed. What we weight most heavily is judgement: knowing when a simpler model is better, and being able to say clearly what a result does and does not prove.
Responsibilities
- Build and maintain price elasticity and demand forecasting models
- Design, run and honestly interpret pricing experiments
- Partner with engineering to move models into the serving path
- Explain model behaviour to category and finance stakeholders
- Monitor deployed models for drift and business impact
Requirements
- 3-6 years of applied data science experience
- Strong statistics, causal inference and experiment design
- Advanced SQL and production-grade Python
- Experience with models that actually shipped, not only notebooks
- Able to communicate uncertainty clearly to non-technical stakeholders
Skills
Benefits
- Work on decisions with immediate revenue impact
- Health cover for family and parents
- Conference and publication support
- Hybrid working with three office days
