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. To make this vision real, we’re looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel. More than 20,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience. Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work. 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 06/01/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline. Compensation Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process. Base Pay Range $144,500—$247,600 USD The Engine Edge: Perks & Compensation We believe in rewarding great work with great benefits: - 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: 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. Perks and benefits may vary based on employment type, location, and more. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 13th, 2025. Please see the independent bias audit report covering our use of Covey here. Ready to Build the Future of Work Travel? Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to shape next-generation pricing strategies in a high-growth, technology-driven environment. You will work with large-scale datasets to uncover insights, build enterprise-grade machine learning models, and develop algorithms that directly influence pricing decisions across multiple markets. Operating at the intersection of data science, engineering, and business strategy, you will collaborate cross-functionally to deliver actionable insights that optimize revenue and customer experience. This is a highly visible role, offering significant ownership over complex pricing challenges, where your models and analyses will directly impact financial performance. Ideal candidates thrive in fast-paced environments, enjoy tackling complex problems, and are excited by the chance to translate advanced analytics into measurable business outcomes. - Develop advanced pricing models and algorithms using statistical and machine learning methods to inform strategic decisions and optimize revenue. - Analyze large-scale pricing datasets to identify trends, benchmark performance, and provide actionable insights across regions and business units. - Architect core pricing intelligence systems, ensuring enterprise-grade reliability, interpretability, and regulatory compliance. - Collaborate cross-functionally with engineers, analysts, and business teams to uncover pricing opportunities and implement data-driven strategies. - Design and execute experiments, including A/B testing and causal inference, to validate model assumptions and measure business impact. - Communicate insights effectively to stakeholders and leadership, translating complex data into clear, actionable recommendations. - Drive business impact by continuously iterating on models and pricing strategies in a fast-paced, high-growth environment. Qualifications - 7+ years of hands-on experience in Data Science, Machine Learning, or ML Engineering, ideally in pricing, revenue optimization, or related domains. - Strong technical skills in Python and SQL; experience with cloud-based or agnostic tech stacks; familiarity with Snowflake or Streamlit is a plus. - Advanced statistical and machine learning expertise, including experience with large, complex datasets and model interpretability. - Master’s degree in a quantitative field required; PhD preferred. - Ability to translate technical insights into strategic recommendations that impact pricing and revenue. - Excellent communication skills to present findings to both technical and non-technical audiences. - Thrives in high-growth environments, embraces ambiguity, and is driven by measurable business impact. Requirements - 7+ years of hands-on experience in Data Science, Machine Learning, or ML Engineering, ideally in pricing, revenue optimization, or related domains. - Strong technical skills in Python and SQL; experience with cloud-based or agnostic tech stacks; familiarity with Snowflake or Streamlit is a plus. - Advanced statistical and machine learning expertise, including experience with large, complex datasets and model interpretability. - Master’s degree in a quantitative field required; PhD preferred. - Ability to translate technical insights into strategic recommendations that impact pricing and revenue. - Excellent communication skills to present findings to both technical and non-technical audiences. - Thrives in high-growth environments, embraces ambiguity, and is driven by measurable business impact. Benefits - Competitive base salary: $144,500—$247,600 USD, with variable pay, bonuses, and potential equity. - Comprehensive healthcare coverage including medical, dental, and vision. - Flexible work environment: hybrid or fully remote options depending on role requirements. - Professional development opportunities to grow skills and advance your career. - Supportive and innovative team culture fostering collaboration, creativity, and high impact. - Additional perks: wellness programs, office resources, and tools to maximize productivity and work-life balance.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $73/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $73/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.