Role Overview
As a Data Scientist in the Pricing team, you’ll report directly to the Head of Pricing and take the lead in building predictive data models that recommend tariff changes, influence strategy, and strengthen profitability.
What You Will Do
You will predict outcomes and automatically recommend tariff changes, improve and refine dynamic pricing models, study price elasticity across different regions and assets, and build and deploy statistical models and machine learning algorithms to optimize pricing decisions.
Why It Might Be a Fit
You will have a direct commercial impact, taking our pricing capabilities to the next level through advanced analytics and machine learning, and work closely with Product, Marketing, Finance, and Sales/Account Management teams to translate analytical insights into actionable pricing recommendations.
Requirements
- 2-3 years of experience in data science, pricing, commercial analytics, revenue management, or a similar quantitative role
- Strong proficiency in SQL and Python for data analysis, manipulation, and modeling
- Familiarity with quasi-experimental design and causal inference techniques (e.g., Difference in Differences) to evaluate business impact outside of standard A/B testing
- Degree in Data Science, Statistics, Economics, Mathematics, Operations Research, or related field
- Understanding of pricing strategies, revenue optimization, and price elasticity
- Strong communication skills, ability to explain technical concepts to non-technical stakeholders, and a passion for turning data into actionable insights
To apply for this job please visit jobs.ashbyhq.com.
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