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    Data Scientist - Chicago, IL, United States - Abbott Laboratories

    Abbott Laboratories background
    Full time
    Description
    Willis Tower Building 233 S Wacker Dr.


    United States Santa Clara :
    4551 Great America Parkway United States Texas

    Plano :
    6901 Preston Road United States Sylmar : 15900 Valley View Court
    time type Full time
    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.

    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 medical devices, diagnostics, nutritional, and branded generic medicines.

    This position works out of the Chicago, IL or Plano, TX or Sylmar, CA or Santa Clara, CA locations in the Medical Devices Digital Solutions organization.

    Abbott Medical Devices, with revenue of $16.5B in 2023, is a global leader in providing life changing technology for the management and treatment of people living with chronic conditions including Diabetes, Cardiovascular disease, Chronic Pain, and Movement Disorders.

    The Principal Data Scientist, Digital Solutions reports to the Head of Technology, Digital Solutions.

    The Principal Data Scientist role will closely work with cross-functional product teams and responsible for designing, developing, and deploying external customer focused Product focused AI (PAI) / data science solutions to extract valuable insights and intelligence from large and complex medical datasets.

    The Principal Data Scientist role will exhibit a sense of inquisitiveness and a creative mind to uncover novel opportunities that will directly contribute to enhancing the quality of patient care and the development of innovative medical devices and therapy solutions.

    Conduct exploratory data analysis to identify patterns and trends, informing the development of robust algorithms.

    Design, develop and optimize predictive models using machine learning to solve complex (clustering, classification, regression, simulation, and optimization) problems on large-scale data sets, which ultimately optimizes and increases clinical outcomes.

    Monitor and track model performance, identify and address issues, and iterate on models for continuous improvement.
    Perform rigorous testing and validation of models to ensure reliability and accuracy in diverse real-world scenarios.
    Build and maintain machine learning pipelines, including data ingestion, feature engineering, model training and deployment.
    Create and maintain technical specifications and relevant documentation required to operate in a regulated medical device space.

    Work closely with the cross functional technical and non-technical stakeholders and teams to understand (business / clinical) domain complexity, explain application of complex machine learning concepts and translate into technical solutions.

    Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.

    Stay up to date with latest advancements in machine learning research and implement relevant technologies to deliver state of the art data science solutions.

    Master's Degree in Data Science, Computer Science, Statistics, or a related field
    ~8-10 years of experience in a relevant industrial or academic setting.
    ~ Proven expertise in data science methodologies and statistical techniques.
    ~ Strong knowledge of core machine learning concepts, algorithms, and techniques.
    ~ Strong hands-on experience and expertise in large-set data analysis, data cleaning, wrangling, feature engineering, and model evaluation.
    ~ Advanced proficiency in programming languages such as (R / Python / Java / C#), SQL.
    ~ Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy and statsmodel.
    ~ Previous experience in healthcare technology or related fields.
    Experience working in Cloud Computing environments (e.g., Experience with healthcare data, including Electronic Health Records (EHR).
    Experience with data visualization tools (e.g., Tableau, Power BI).
    Familiarity with data privacy and security regulations, such as HIPAA.
    Training and career development , with onboarding programs for new employees and tuition assistance
    Financial security through competitive compensation, incentives and retirement plans
    Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
    401(k) retirement savings with a generous company match
    The stability of a company with a record of strong financial performance and history of being actively involved in local communities
    Learn more about our benefits that add real value to your life to help you live fully:
    Abbott is an Equal Opportunity Employer, committed to employee diversity.
    Connect with us at , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal.


    TRAVEL:
    MD Medical Devices


    LOCATION:
    Willis Tower Building 233 S Wacker Dr


    Plano :
    6901 Preston Road


    WORK SHIFT:
    Standard


    TRAVEL:
    Yes, 10 % of the Time


    MEDICAL SURVEILLANCE:
    Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

    Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

    EEO is the Law link - English:
    EEO is the Law link - Espanol: Abbott is about the power of health.

    For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more.

    With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life.

    Whether it's next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health.

    The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people.

    They push the boundaries to help manage and treat some of life's greatest health challenges.

    We invite you to explore opportunities at Abbott , to see if your talents and career aspirations may fit with our openings.

    An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.
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