Senior AI Data Scientist – Healthcare Analytics (Alameda)

Abbott; Alameda (CA); On-site; USD 114,000 - 228,000; Full time

Benefits offered by this job

Free medical coverage

Strong retirement plan

Tuition reimbursement

FreeU education benefit

Job summary

Abbott in Alameda, CA is seeking a Senior Data Scientist to advance Lingo—our biosensing technology. You will design, prototype, and deploy AI-enabled analytics, build models, and collaborate with engineers, data architects, and product owners.

The role emphasizes scalable data products, ML pipelines, and conversational AI features using LLMs and RAG. A strong Python/SQL background and 8+ years of experience are required, with a focus on healthcare analytics and customer outcomes.

Qualifications

• Bachelor’s degree or higher in CS, biomedical, bioengineering, data science, or related field.
• 8+ years of data science/analytics experience.
• Strong Python and SQL skills.
• Experience with big data tools (Hadoop/Spark) and ML deployment.
• Experience with AI-powered conversational tech (LLMs, RAG) and evaluation methods.

Responsibilities

• Design analytics models and algorithms in an agile team.
• Build data pipelines with Azure ML SDK, Databricks, and related tools.
• Analyze large datasets to identify trends and drive business outcomes.
• Develop AI-powered conversational experiences and model deployment.

Skills

Python

SQL

Machine Learning

Data Analytics

Big Data

Education

Bachelor's degree

Advanced degree in CS/biomedical/data science

Tools

Azure ML SDK

Azure Data Factory

Databricks

Spark

Hadoop

Docker

Job description

Abbott in Alameda, CA is seeking a Senior Data Scientist to advance Lingo—our biosensing technology. You will design, prototype, and deploy AI-enabled analytics, build models, and collaborate with engineers, data architects, and product owners.

The role emphasizes scalable data products, ML pipelines, and conversational AI features using LLMs and RAG. A strong Python/SQL background and 8+ years of experience are required, with a focus on healthcare analytics and customer outcomes.