Engine
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Staff Data Scientist, Pricing
role at
Engine
About Engine At Engine, we're transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we're here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That's why we're building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.
Your Mission
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
Experience:
7+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing, revenue optimization, or similar high-impact domains.
Skills:
Strong machine learning and statistical modeling skills; adept at working with large, complex datasets.
Tech-Savvy:
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:
Thrive in fast-paced environments, communicate insights clearly to technical and non-technical audiences, and are driven by real business impact. Help shape pricing strategy.
Compensation Base Pay Range: $144,500—$247,600 USD
The Engine Edge: Perks & Compensation
Compensation:
Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
Benefits:
Check out our full list at engine.com/culture.
Environments for Success:
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.
Mid-Senior level
Full-time
Engineering and Information Technology
Referrals increase your chances of interviewing at Engine by 2x
Apply now and let's make travel simpler, smarter, and more enjoyable—together.
#J-18808-Ljbffr
Staff Data Scientist, Pricing
role at
Engine
About Engine At Engine, we're transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we're here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That's why we're building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.
Your Mission
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
Experience:
7+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing, revenue optimization, or similar high-impact domains.
Skills:
Strong machine learning and statistical modeling skills; adept at working with large, complex datasets.
Tech-Savvy:
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:
Thrive in fast-paced environments, communicate insights clearly to technical and non-technical audiences, and are driven by real business impact. Help shape pricing strategy.
Compensation Base Pay Range: $144,500—$247,600 USD
The Engine Edge: Perks & Compensation
Compensation:
Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
Benefits:
Check out our full list at engine.com/culture.
Environments for Success:
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.
Mid-Senior level
Full-time
Engineering and Information Technology
Referrals increase your chances of interviewing at Engine by 2x
Apply now and let's make travel simpler, smarter, and more enjoyable—together.
#J-18808-Ljbffr