Data Scientist

Senior Data Scientist Los Angeles, California, US (Day one Onsite) Contract 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