Role: Senior Data Scientist

Location: Los Angeles, CA

Required Skills and Experience
• More years of related professional experience.
• Hands-on experience in analytics and data science (classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).
• Solid proficiency in data science tools such as Python, R, Spark, SQL.
• Experience implementing predictive algorithms and statistical analysis/inference in workflows using structured and unstructured data.
• Ability to communicate highly technical results to diverse audiences.
• Comfortable working as part of a team and taking initiative.
• High school diploma (or equivalency) and legal authorization to work in the U.S.
• Proven experience translating complex analyses into actionable insights.
• Ability to break down complex or unclear problems into data-driven hypotheses.
• Technical Skills:
• Python: End-to-End Data Workflows is strongly preferred
• Experience working with large language models (LLMs)
• CI/CD and Infrastructure as code - experience with Docker
• Author and maintain Github
• Node.js experience
• React
• Terraform
• Database skills
• Familiarity with AWS services:
• AWS Bedrock is strongly preferred
• DynamoDB
• S3
• Fargate/serverless computing
• Proven ability to work cross-functionally with business stakeholders to understand needs, translate between technical and business objectives, and deliver solutions that align with strategic goals..
• Ability to craft compelling narratives using visuals and clear written summaries.
• Prior experience in healthcare preferably in healthcare sales