Senior Data Scientist

Abbott • Alameda, CA

6d • $114,000 - $228,000 • Onsite

About The Position

Abbott is hiring 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 informed decisions about health and nutrition. The role contributes to building technology that helps individuals improve energy, lose weight, or enhance athletic performance.

Working in a start-up-style environment backed by Abbott, the Senior Data Scientist applies artificial intelligence and machine learning to design, prototype, and build advanced analytics engines and services. The position collaborates with software engineers, data architects, designers, and product owners to develop AI features, predictive models, and analytics tools that improve customer experience and support business outcomes.

The role is based at Abbott’s Alameda, California location. The posted base pay range is $114,000 to $228,000; pay may vary in specific locations.

Requirements

• 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 and expertise in one or more big data technologies, such as Hadoop, Spark, H2O.ai, cloud AI platforms, or containerization.
• Experience supporting the deployment, monitoring, maintenance, and enhancement of analytics models.
• Experience building and deploying AI-powered conversational solutions, including intent classification, RAG, grounded response generation, policy and guardrail implementation, validation methodologies, and evaluation frameworks for production use cases.
• Current knowledge of analytics industry trends in data acquisition, processing, engineering, and management.
• Curiosity, creativity, and problem-solving capabilities.

Nice To Haves

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

Responsibilities

• Work within an agile team in a dynamic, collaborative environment to design complex analytics models and algorithms.
• Develop data and model pipelines using technologies such as Azure ML SDK, Azure Data Factory, Databricks, and 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 that are incorporated 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.

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, described as an affordable and convenient path to earning a bachelor’s degree.

What This Job Offers

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