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# Senior Data Scientist

- **Company:** Abbott Laboratories
- **Location:** Alameda, CA, United States
- **Experience:** Expert
- **Salary:** $114,000.0 - $228,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Apache Hadoop, Python (Programming Language), Machine Learning, Azure Machine Learning, Freeform SQL, Chatbots, Azure Data Factory, Large Language Models, Apache Spark, Generative AI, Containerization, Information Technology, Data Management, Natural Language Understanding, Databricks
- **Published:** October 31, 2026
- **Apply:** https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---California---Alameda/Senior-Data-Scientist_31165260-1

## About the Role

* 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

## Description

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., * 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.