Senior Data Scientist

Overview:

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