Abbott’s Lingo team is building a next-generation analytics and AI platform to support more personalized healthcare decisions. This Senior Data Scientist role (onsite in Alameda, CA) helps turn large-scale data into repeatable, interpretable models and AI-powered conversational experiences that can be integrated into analytics products across the organization.
At Abbott, you will join a team with a startup culture and mindset while benefiting from the scale and support of an established international company. The opportunity includes hands-on work that spans machine learning, advanced analytics, and Large Language Model (LLM) applications, grounded in data accessibility, security, and quality.
Responsibilities
- Partner in an agile, fast-moving environment to design complex analytics models and algorithms that deliver solutions organization-wide
- Build data and model pipelines using tools such as Azure ML SDK, Azure Data Factory, Databricks, and Spark (or related technologies)
- Analyze large datasets to uncover trends and patterns, and develop analytics models
- Maintain data accessibility, security, and quality across the lifecycle; implement automated anomaly detection and monitor model drift performance
- Communicate complex technical findings to technical and business/executive audiences
- Perform advanced statistical and other analyses to generate actionable insights, identify trends, and measure performance
- Create repeatable, interpretable, dynamic, scalable models that plug into analytics data products
- Design, develop, and deploy AI-powered conversational experiences, including chatbots and virtual assistants using LLMs, retrieval-augmented generation (RAG), intent classification, grounded responses, and policy-based controls
Requirements
- Bachelor’s degree; an advanced degree in computer science, biomedical, bioengineering, data science, or a related field is preferred
- 8+ years of relevant experience in data science and analytics
- Strong proficiency in Python and experience writing complex SQL queries
- Strong machine learning expertise across clustering, classification, regression, anomaly detection, simulation, and optimization on large-scale datasets
- Hands-on expertise in big data technologies such as Hadoop, Spark, H2O.ai, cloud AI platforms, and/or containerization
- Experience supporting the deployment, monitoring, maintenance, and enhancement of analytics models
- Experience building and deploying conversational AI using intent classification, RAG, grounded response generation, policy and guardrail implementation, and validation and evaluation for production use cases
- Up-to-date knowledge of industry trends in data acquisition, processing, engineering, and management
- High level of curiosity, creativity, and problem-solving capability
Technologies
Python, SQL, Azure ML SDK, Azure Data Factory, Databricks, Spark, Hadoop, H2O.ai, cloud AI platforms, containerization, Large Language Models (LLMs), retrieval-augmented generation (RAG).
Benefits
- Career development with an international company where you can grow the career you dream of
- Employees may qualify for free medical coverage in the Health Investment Plan (HIP) PPO medical plan in the next calendar year
- An excellent retirement savings plan with a high employer contribution
- Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit to support earning a bachelor’s degree through an affordable, convenient path
The Opportunity
The Lingo team supports personalized healthcare by developing next-generation technology that helps individuals make decisions about how to improve energy, lose weight, or enhance athletic performance.
Lingo is a biosensing technology that tracks key biomarkers such as glucose, ketones, and lactate to help users make better choices about health and nutrition. The biowearable approach aims to digitize, decentralize, and democratize healthcare so consumers can take control of their own health.
Salary: USD 114,000 - 228,000 per year. Location: Alameda, CA (onsite).
