Analyze large-scale pricing datasets to identify trends and benchmark comparable properties across regions
Architect core pricing intelligence systems using robust statistical ML methods that form the foundation for our next-generation pricing platform
Build enterprise-grade ML models that balance sophistication with interpretability, ensuring stakeholder confidence and regulatory compliance
Develop strategic pricing algorithms that combine the reliability of proven statistical methods with the innovation of modern ML engineering
Advanced analytics experience, including experimental design, A/B testing, and causal inference methods
Collaborate cross-functionally with engineers, analysts, and business teams to uncover pricing opportunities
Perform exploratory data analysis and communicate clear, actionable insights to leadership and stakeholders
Drive business impact by building strategic models and thriving in a fast-paced, high-growth environment

7+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing, revenue optimization, or similar high-impact domains.
You’re a problem-solver with strong machine learning and statistical modeling skills, and you're especially adept at working with large, complex datasets.
Strong proficiency in SQL and Python is a must. Experience with agnostic tech stacks is a plus. Bonus points if you’ve worked with Snowflake or Streamlit.
A Master’s degree in a quantitative field is highly desired; a PhD is a plus.
You thrive in fast-paced environments, communicate insights clearly to technical and non-technical audiences, and are driven by real business impact. You're not just building models—you’re helping shape pricing strategy.

Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
Check out our full list at engine.com/culture.
Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.

Staff Data Scientist, Pricing

Key skills