Data Scientist – Pricing
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Job Description
Data Scientist managing pricing systems for Nivoda, a global jewelry marketplace. Building analytical frameworks and conducting pricing experiments to optimize pricing decisions.
Responsibilities:
- Build the Pricing Intelligence System
- Create the analytical foundation that powers pricing decisions across the company.
- Develop frameworks and datasets that allow teams to understand price sensitivity, margin impact, and marketplace behaviour.
- Build visibility into how pricing performs across different product categories and services.
- Your impact: pricing becomes measurable and controllable rather than opaque.
- Design and Run Pricing Experiments
- Introduce experimentation into pricing decisions.
- Design and analyse experiments that measure elasticity, conversion impact, and behavioural changes across pricing structures.
- Work with Product and Engineering across all domains to implement safe and scalable experimentation.
- Your impact: pricing decisions are grounded in evidence.
- Connect Pricing Across the Platform
- Ensure pricing decisions across teams work together.
- Work with leaders across Marketplace, Fulfilment, and Fintech to identify inconsistencies, conflicts, and opportunities.
- Create a shared framework that helps teams understand trade offs between margin, liquidity, and growth.
- Your impact: pricing operates as a unified system rather than disconnected decisions.
- Build the Foundations of a Pricing Engine
- Partner with Data and Engineering to move pricing logic into scalable systems.
- Define the models, signals, and infrastructure required for dynamic or rules based pricing. Ensure pricing inputs can be integrated into the product platform over time.
- Your impact: pricing becomes scalable as the platform grows.
- Turn Data Into Clear Commercial Insight
- Translate complex analysis into decisions leaders can act on.
- Provide clear insight into pricing behaviour across the platform.
- Help teams understand the trade offs between margin, liquidity, growth, and customer behaviour.
- Your impact: pricing becomes a strategic lever for the business.
Requirements:
- 5-7+ years working in pricing analytics, marketplace analytics, or data science roles.
- Strong analytical and modelling skills with experience working with large datasets.
- Experience working in a marketplace or two sided platform.
- Experienced in running experiments or analysing pricing elasticity.
- Comfortable working across product, finance, and commercial teams.
- Commercially minded. You understand how pricing decisions affect supply, demand, and platform behaviour.
- Clear communicator who can translate analytical work into business decisions.
- Preferred Qualifications: Exposure to dynamic pricing systems or pricing engines; Experience in ecommerce, fintech, marketplaces, or trading environments.
Benefits:
- Flexible working hours and a vibrant company culture
- Remote work
- Medical (United Healthcare), Dental, & Vision (Guardian Life) benefit
- 401K benefit (Guideline Inc)
- Plenty of opportunities for growth and learning
- Unlimited holiday allowance
- Chance to join and contribute to a company during its exponential expansion phase
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