Nivoda

Data Scientist – Pricing

Nivoda

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
pricing analyticsmarketplace analyticsdata scienceanalytical skillsmodelling skillslarge datasetspricing elasticitydynamic pricing systemspricing enginesecommerce
Soft Skills
clear communicatorcommercially mindedanalytical translationcollaborationcross-functional teamwork