Senior Data Scientist
United States - California - Alameda
- Pay
Pay amount needs review — pay source
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:
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- Not stated
- Work authorization
- Not stated
What you’ll work on
Full postingDesign, prototype and build advanced analytics engines and ML models
Develop data and model pipelines using Azure ML, Databricks and Spark
Create automated anomaly detection and monitor model performance and drift
Design and deploy AI chatbots and virtual assistants using LLMs and RAG
Analyze large datasets to find trends and present insights to technical and executive audiences
From the employer’s posting
design, prototype, and build next-generation advanced analytics engines and services
Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies
create automated anomaly detection systems and monitor their performance and model drift
Design, develop, and deploy AI-powered conversational experiences, including chatbots and virtual assistants leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG)
Analyze large amounts of data to discover trends and patterns, and build analytics models
What you’ll bring
All qualificationsCore experience
- 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
- 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.
Preferred experience
- Bachelor’s degree, Advanced degree in computer science, biomedical, bioengineering, data science, or relevant, is preferred.
Qualification wording
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
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.
Bachelor’s degree, Advanced degree in computer science, biomedical, bioengineering, data science, or relevant, is preferred.
Education & alternatives
- 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.
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
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Hadoop
- Spark
Source — Tool mentions in context
- 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
- 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
- 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
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
About Abbott Laboratories
Meet Lingo, a new biosensing technology that provides users a window into their body.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 2026 · 4 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on abbott.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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 Development
DIVISION:
LNGO Lingo
LOCATION:
United States > Alameda : 2901 Harbor Bay Parkway
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
No
MEDICAL SURVEILLANCE:
No
SIGNIFICANT 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.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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:
- Location & working pattern
United States - California - Alameda
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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