
Senior Data Scientist
Alameda, CAJob$114–228K/yrSeen 2 days agoSeen in employer's feed 2 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Senior Data Scientist will apply artificial intelligence and machine learning to build advanced analytics engines, services, and customer-facing features for Abbott’s Lingo biosensing technology. The role collaborates with software engineers, data architects, designers, and product owners to develop predictive models and improve customer experience and business outcomes. It is based in Alameda, California, and includes building AI-powered conversational experiences.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:
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Career development with an international company where you can grow the career you dream of.
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Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
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An excellent retirement savings plan with a high employer contribution
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Tuition reimbursement, the Freedom 2 Save (https://www.abbott.com/corpnewsroom/strategy-and-strength/tackling-student-debt-for-our-employees.html) student debt program, and FreeU (https://www.abbott.com/corpnewsroom/strategy-and-strength/college-degree-for-free-its-possible-with-freeu.html) education benefit - an affordable and convenient path to getting a bachelor’s degree.
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A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
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A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
About Lingo
Meet Lingo, a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers – such as glucose, ketones, and lactate – to help people make better decisions about their health and nutrition. Biowearable technology will digitize, decentralize and democratize healthcare, enabling consumers to take control of their own health.
The opportunity
Personalized healthcare is the future. Working on Lingo, you will help build a next-generation technology that enables individuals to make decisions about how to improve energy, lose weight or enhance athletic performance. The Lingo team embodies a start-up culture and mindset with the backing of Abbott, a company with a rich history of healthcare innovation. Join us and grow your career as you help Abbott shape the future of healthcare.
You will apply your strong expertise in artificial intelligence by using machine learning to design, prototype, and build next-generation advanced analytics engines and services. You will work closely with software engineers, data architects, designers, and product owners and develop AI features, predictive models using machine learning and other advanced analytics tools to increase and optimize customer experience, revenue generation, prospect targeting, and other business outcomes.
This position works out of our Alameda, CA location in Lingo.
What you’ll do
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Work within an agile team in a dynamic, fast-moving, collaborative environment and design complex analytics models and algorithms that drive analytical solutions throughout the organization
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Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies
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Analyze large amounts of data to discover trends and patterns, and build analytics models
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Ensure the highest level of data accessibility, security, and quality at all stages; create automated anomaly detection systems and monitor their performance and model drift
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Effectively communicate complex ideas and results to both technical and business/executive audiences
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Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
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Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytics data products
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Design, develop, and deploy AI-powered conversational experiences, including chatbots and virtual assistants leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), intent classification, grounded responses, and policy-based controls.
Qualifications
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Bachelor’s degree, Advanced degree in computer science, biomedical, bioengineering, data science, or relevant, is preferred.
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8+ years of relevant experience in the data science/analytics space
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Strong expertise in Python as well as proficiency in writing complex SQL queries
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Proficiency in using machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets
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Strong hands-on experience and expertise in one or more big data technologies, i.e., Hadoop, Spark, H20.ai, cloud AI platforms, containerization
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Experience supporting deployment, monitoring, maintenance, and enhancement of analytics models
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Experience building and deploying AI-powered conversational solutions, including intent classification, retrieval-augmented generation (RAG), grounded response generation, policy and guardrail implementation, validation methodologies, and evaluation frameworks for production use cases.
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Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective
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High level of curiosity, creativity, and problem-solving capabilities
The base pay for this position is $114,000.00 – $228,000.00. In specific locations, the pay range may vary from the range posted.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call 224-667-4913 or email [email protected]
How this job compares
Set against the 4,803 open Data Scientist jobs on Olive Jobs, counted November 2, 2026.
- Pay
- This posting$114–228K/yr
- California median$156–236K/yr666 salary ranges
- US median$135–212K/yr3,687 salary ranges
This range's midpoint, $171K, is 14% below the California median midpoint ($200K) — in the middle half of Data Scientist salary ranges in California.
- Openings
- Olive Jobs lists 803 open Data Scientist jobs in California and 4,803 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,106 postings).
- Education
- This posting asks for a bachelor's degree; 2,291 of the 4,803 open Data Scientist jobs (48%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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