onsite
Senior Data Scientist - Jerry
Data Scientist
Lead end‑to‑end data science initiatives for a fast‑growing asset‑management platform, driving insights from large vehicle and home‑ownership datasets using Python, ML, and cloud analytics.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine‑learning models to predict insurance risk, maintenance needs, and customer churn.
- Collaborate with product, engineering, and data engineering teams to transform raw telemetry and transactional data into actionable insights.
- Implement end‑to‑end data pipelines using SQL and AWS services (S3, Redshift, SageMaker) to support model training and inference.
- Conduct exploratory data analysis, feature engineering, and statistical testing to validate model performance and business hypotheses.
- Communicate findings to stakeholders through clear visualizations and executive‑level summaries.
Requirements
- 5+ years of experience in data science or analytics roles, preferably in fintech or insurtech.
- Proficiency in Python, SQL, and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience building production‑grade models on AWS (SageMaker, Lambda, Glue).
- Strong statistical background and ability to translate complex data into business‑driven recommendations.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningdata analysissqlaws