Data Scientist (Python | LLM | AWS)
Purple Drive, Los Angeles, CA, United States
Overview:
Role Summary:
We are seeking an experienced
Data Scientist
with hands-on expertise in analytics, machine learning, and cloud technologies. The ideal candidate will design and implement data-driven solutions using Python, AWS, and modern DevOps tools, while collaborating with business teams to deliver actionable insights-preferably within the
healthcare
domain.
Key Responsibilities:
Develop and deploy predictive models for classification, regression, NLP, and deep learning use cases.
Work on large language model (LLM) applications and data pipelines.
Analyze structured and unstructured data to derive insights and recommendations.
Collaborate cross-functionally to translate business needs into data science solutions.
Implement workflows using CI/CD, Docker, and Terraform for scalable deployment.
Maintain GitHub repositories and contribute to reusable data science assets.
Build and visualize data stories to communicate findings to stakeholders.
Required Skills & Experience:
Strong proficiency in
Python
(end-to-end data workflows).
Experience with
LLMs , NLP, and deep learning frameworks.
Familiarity with
AWS
services such as Bedrock, DynamoDB, S3, and Fargate.
Experience with
Docker ,
Terraform , and
Infrastructure as Code .
Exposure to
Node.js ,
React , and modern web technologies.
Solid database and SQL knowledge.
Strong communication and storytelling skills.
Prior experience in
healthcare
or healthcare sales preferred.
Role Summary:
We are seeking an experienced
Data Scientist
with hands-on expertise in analytics, machine learning, and cloud technologies. The ideal candidate will design and implement data-driven solutions using Python, AWS, and modern DevOps tools, while collaborating with business teams to deliver actionable insights-preferably within the
healthcare
domain.
Key Responsibilities:
Develop and deploy predictive models for classification, regression, NLP, and deep learning use cases.
Work on large language model (LLM) applications and data pipelines.
Analyze structured and unstructured data to derive insights and recommendations.
Collaborate cross-functionally to translate business needs into data science solutions.
Implement workflows using CI/CD, Docker, and Terraform for scalable deployment.
Maintain GitHub repositories and contribute to reusable data science assets.
Build and visualize data stories to communicate findings to stakeholders.
Required Skills & Experience:
Strong proficiency in
Python
(end-to-end data workflows).
Experience with
LLMs , NLP, and deep learning frameworks.
Familiarity with
AWS
services such as Bedrock, DynamoDB, S3, and Fargate.
Experience with
Docker ,
Terraform , and
Infrastructure as Code .
Exposure to
Node.js ,
React , and modern web technologies.
Solid database and SQL knowledge.
Strong communication and storytelling skills.
Prior experience in
healthcare
or healthcare sales preferred.