Engine is revolutionizing work travel with a modern platform, and needs to leverage data science and machine learning to drive strategic decisions, power product features, and improve customer experience.
Requirements
- Strong expertise in machine learning algorithms and statistical modeling
- Proficiency in Python (including scikit-learn, numpy, and pandas)
- Proficiency in SQL
- Experience with Snowflake is a plus
- Experience with Streamlit is a plus
Responsibilities
- Develop and implement data science strategies to enhance key machine learning models and services, including lead scoring, churn modeling, pricing, personalization, and fraud detection.
- Collaborate with engineering and business stakeholders to ensure actionable insights, effective implementation, and measurable business impact.
- Drive end-to-end data science initiatives, from gathering and analyzing data to feature engineering, model selection/training, inference, and monitoring.
- Enhance data infrastructure and analytics capabilities by working closely with our data infrastructure and analyst teams.
- Effectively communicate findings to both technical and non-technical audiences, ensuring transparency and alignment across teams.
Other
- 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments.
- A bias toward simple, effective ML solutions before diving into complex approaches.
- Ability to present findings clearly to both technical and non-technical stakeholders.
- Thrive in a fast-paced, dynamic environment with a willingness to take initiative and drive meaningful impact.
- MS/PhD in a quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science.
