Engine - Manager, Data Science
Requirements
• Experience: 7+ years of experience in Data Science, with at least 1–2 years in a formal or informal leadership role (e.g., Lead Data Scientist or People Manager). • Technical Mastery: Deep expertise in machine learning, predictive modeling, and statistical analysis. • Technical Mastery: • Tech Stack: Expert-level proficiency in Python, SQL, and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch. • Python • Scikit-Learn • TensorFlow • PyTorch • Cloud & Data: Experience working with large-scale datasets and cloud environments (AWS, GCP, or Azure). • Cloud & Data: • Industry Knowledge: Experience in B2B, marketplace, travel, or e-commerce industries is highly preferred. • Industry Knowledge: • Communication: Proven ability to "bridge the gap" between technical execution and business value. • Communication: • Education: Advanced degree (Master’s or PhD) in a quantitative field (CS, Stats, Math, Physics) is a plus. • Education: • Applications for this role will be accepted through 07/01/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline. • CompensationOur 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.
Responsibilities
• Team Leadership: Lead and mentor a high-performing team of Data Scientists, providing technical guidance and supporting their professional development. • Team Leadership: • Execution & Delivery: Own the end-to-end lifecycle of ML models—from data exploration and prototyping to deployment and monitoring. • Execution & Delivery: • Cross-Functional Collaboration: Partner with Product, Engineering, and Business teams to translate complex business problems into actionable data science projects. • Cross-Functional Collaboration: • Technical Excellence: Maintain high standards for code quality, documentation, and model validation; conduct rigorous peer reviews. • Technical Excellence: • Experimentation: Lead the design and analysis of A/B tests and experimentation frameworks to measure the impact of new features. • Experimentation: • Scalability: Work with Data Engineering to ensure our data pipelines and infrastructure support high-velocity model iteration. • Scalability: • Insights to Action: Commmunicate technical results to non-technical stakeholders, ensuring data insights drive day-to-day business decisions. • Insights to Action:
Benefits
• $144,500—$200,000 USD • The Engine Edge: Perks & CompensationWe 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. • Environments for Success: • Perks and benefits may vary based on employment type, location, and more. • 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. • Ready to Build the Future of Work Travel?
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