Lead and mentor a high-performing team of Data Scientists, providing technical guidance and supporting their professional development.
Own the end-to-end lifecycle of ML models—from data exploration and prototyping to deployment and monitoring.
Partner with Product, Engineering, and Business teams to translate complex business problems into actionable data science projects.
Maintain high standards for code quality, documentation, and model validation; conduct rigorous peer reviews.
Lead the design and analysis of A/B tests and experimentation frameworks to measure the impact of new features.
Work with Data Engineering to ensure our data pipelines and infrastructure support high-velocity model iteration.
Communicate technical results to non-technical stakeholders, ensuring data insights drive day-to-day business decisions.

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).
Deep expertise in machine learning, predictive modeling, and statistical analysis.
Expert-level proficiency in Python, SQL, and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
Experience working with large-scale datasets and cloud environments (AWS, GCP, or Azure).
Experience in B2B, marketplace, travel, or e-commerce industries is highly preferred.
Proven ability to 'bridge the gap' between technical execution and business value.
Advanced degree (Master’s or PhD) in a quantitative field (CS, Stats, Math, Physics) is a plus.

Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
Check out our full list at engine.com/culture.

Manager, Data Science

Key skills