Staff Data Scientist, Pricing

Your Mission:
As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of:

• 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

What You’ll Bring to Engine:
We’re looking for someone who’s ready to make an impact and grow alongside us:

• Experience: 7+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing, revenue optimization, or similar high-impact domains.
• Skills: You’re a problem-solver with strong machine learning and statistical modeling skills, and you're especially adept at working with large, complex datasets.
• Tech-Savvy: 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.
• Education: A Master’s degree in a quantitative field is highly desired; a PhD is a plus.
• Mindset: 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.

Applications for this role will be accepted through 1/06/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.