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Our client, a boutique consulting firm, is looking for a Data Scientist with expertise in Pricing Analytics and Value-Based Pricing to develop pricing models, demand forecasting frameworks, and revenue optimization strategies.
Key Responsibilties:
1-Build and validate price elasticity models (SKU / segment level)
2-Develop value-based pricing frameworks (willingness-to-pay, feature impact)
3-Run regression analyses linking price changes to demand/revenue outcomes
4-Generate pricing recommendations / simulations (what-if scenarios, optimal price bands)
5-Create clean datasets + dashboards / outputs for business teams (repeatable pipelines)
1-Strong Python (pandas, numpy, scikit-learn, statsmodels)
2-Solid understanding of regression techniques (linear, log-log, multivariate, regularization)
3-Experience with pricing analytics (elasticity, demand curves, price-volume trade-offs)
4-Data handling: data cleaning, feature engineering, EDA
5-Ability to translate models into business insights (not just modeling)
Consulting and Advisory Firm
Professional Services - Consulting
2+ years
1
4 months
2+ years
Remote - India
4 months
3+ years
On-Site - Hyderabad
4 months
5+ years
On-Site - Bengaluru
4 months
4+ years
On-Site - Mumbai
4 months
2+ years
On-Site - Mumbai
4 months
2+ years
On-Site - Mumbai
4 months
5+ years
Hybrid - Bengaluru
4 months
3+ years
On-Site - Mumbai
4 months
4+ years
On-Site - Mumbai, India_Other
4 months
2+ years
On-Site - Chennai
4 months
2+ years
On-Site - Mumbai
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