Senior Data Scientist

Abbott • Alameda, CA

5d • Onsite

About The Position

Abbott is seeking a Senior Data Scientist for its Lingo team in Alameda, California. Lingo is a biosensing technology that tracks biomarkers such as glucose, ketones, and lactate to help people make health and nutrition decisions. The role applies artificial intelligence and machine learning to build advanced analytics engines and services supporting personalized healthcare and customer and business outcomes.

Working in a collaborative, agile environment, the Senior Data Scientist partners with software engineers, data architects, designers, and product owners to design, prototype, build, deploy, and maintain predictive models, analytics solutions, and AI features. The role also develops AI-powered conversational experiences, including chatbots and virtual assistants. The posted base pay range is $114,000–$228,000; pay may vary by location.

Requirements

• Bachelor’s degree in computer science, biomedical engineering, bioengineering, data science, or a relevant field.
• At least 8 years of relevant experience in data science or analytics.
• Strong expertise in Python and proficiency writing complex SQL queries.
• Proficiency applying machine learning to clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale datasets.
• Hands-on experience with one or more big data technologies, such as Hadoop, Spark, H2O.ai, cloud AI platforms, or containerization.
• Experience building and deploying AI-powered conversational solutions, including intent classification, RAG, grounded response generation, policy and guardrail implementation, validation methodologies, and production evaluation frameworks.
• Knowledge of industry trends in analytics, including data acquisition, processing, engineering, and management.
• Curiosity, creativity, and problem-solving capabilities.

Nice To Haves

• An advanced degree in computer science, biomedical engineering, bioengineering, data science, or a relevant field.

Responsibilities

• Design complex analytics models and algorithms that support analytical solutions across the organization.
• Develop data and model pipelines using technologies such as Azure ML SDK, Azure Data Factory, Databricks, Spark, or related tools.
• Analyze large datasets to discover trends and patterns and build analytics models.
• Maintain data accessibility, security, and quality; create automated anomaly-detection systems and monitor their performance and model drift.
• Communicate complex ideas and results to technical, business, and executive audiences.
• Conduct advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance.
• Create repeatable, interpretable, dynamic, and scalable models for integration into analytics data products.
• Design, develop, and deploy AI-powered conversational experiences, including chatbots and virtual assistants using LLMs, RAG, intent classification, grounded responses, and policy-based controls.
• Support deployment, monitoring, maintenance, and enhancement of analytics models.

Benefits

• Career development opportunities with an international company.
• Employees may qualify for free medical coverage in the Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• Retirement savings plan with a high employer contribution.
• Tuition reimbursement.
• Freedom 2 Save student debt program.
• FreeU education benefit, an affordable and convenient path to a bachelor’s degree.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior