onsite
Staff Data Scientist - Jerry
Data Scientist
Lead advanced analytics and AI initiatives for a fast‑growing asset‑management platform, building predictive models, recommendation engines, and data pipelines using Python, ML/DL frameworks, and cloud services.
About the role
Key Responsibilities
- Design, develop, and deploy large‑scale machine learning and deep learning models that power insurance pricing, risk assessment, and personalized recommendations across multiple asset categories.
- Own end‑to‑end data pipelines on AWS (S3, Redshift, SageMaker, EMR) and Spark, ensuring data quality, scalability, and real‑time inference capabilities.
- Collaborate with product, engineering, and domain experts to translate business problems into data‑driven solutions and measurable KPIs.
- Mentor senior data scientists and engineers, establishing best practices for model validation, monitoring, and reproducibility.
- Conduct exploratory analysis and statistical modeling to uncover insights that drive product strategy and operational efficiency.
Requirements
- 5+ years of hands‑on experience building production ML/DL models in Python using frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Strong expertise in SQL and big‑data processing with Spark or similar distributed systems.
- Proven experience deploying models on AWS services (SageMaker, Lambda, ECS/EKS) and managing data pipelines in a cloud environment.
- Deep understanding of statistical methods, experiment design, and performance evaluation.
- Excellent communication skills and a track record of leading cross‑functional teams in a fast‑paced, product‑focused environment.
Skills
pythonmachine learningdeep learningawssql