Senior Data Scientist
Company websiteabbott.com (Abbott, opens in new tab)
Base salary $114K to $228K
Employer-published annual base salary, USD. Advertised base range in Alameda, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationAlameda, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
JOB DESCRIPTION:
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:
- Career development with an international company where you can grow the career you dream of.
- Employees can qualify for free medical coverage in our 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 - an affordable and convenient path to getting a bachelor’s degree.
- 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.
- 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
- 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
- Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies
- Analyze large amounts of data to discover trends and patterns, and build analytics models
- 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
- Effectively communicate complex ideas and results to both technical and business/executive audiences
- Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
- Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytics data products
- 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
- Bachelor’s degree, Advanced degree in computer science, biomedical, bioengineering, data science, or relevant, is preferred.
- 8+ years of relevant experience in the data science/analytics space
- Strong expertise in Python as well as proficiency in writing complex SQL queries
- Proficiency in using machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets
- Strong hands-on experience and expertise in one or more big data technologies, i.e., Hadoop, Spark, H20.ai, cloud AI platforms, containerization
- Experience supporting deployment, monitoring, maintenance, and enhancement of analytics models
- 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.
- Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective
- High level of curiosity, creativity, and problem-solving capabilities
The base pay for this position is
$114,000.00 – $228,000.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product DevelopmentDIVISION:
LNGO LingoLOCATION:
United States > Alameda : 2901 Harbor Bay ParkwayADDITIONAL LOCATIONS:
WORK SHIFT:
StandardTRAVEL:
NoMEDICAL SURVEILLANCE:
NoSIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdfSource: Abbott on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($114,000) is above 2% of the 1,492 Data & ML roles in California listed on this site; 4 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSenior Data Scientist$114K to $228K
Product Marketing Manager$114K to $228K
Manager, Product Quality Engineering$114K to $228K
Senior Systems Engineer$114K to $228K
Staff AI/ML Platform Engineer$114K to $228K
Manager, Clinical Data Review – Medical Devices (on-site)$114K to $228K
Brand Manager, HCP Marketing, Peer-to-Peer$114K to $228K
Chart as a table
| Role | Published base |
|---|---|
| Senior Data Scientist (this listing) | $114K - $228K |
| Product Marketing Manager | $114K - $228K |
| Manager, Product Quality Engineering | $114K - $228K |
| Senior Systems Engineer | $114K - $228K |
| Staff AI/ML Platform Engineer | $114K - $228K |
| Manager, Clinical Data Review – Medical Devices (on-site) | $114K - $228K |
| Brand Manager, HCP Marketing, Peer-to-Peer | $114K - $228K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: United States - California - Alameda
$114,000.00 – $228,000.00
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
