Abbott
Staff Data Scientist
Abbott, Chicago, Illinois, United States, 60290
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 114,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:
This position is open to our Chicago, IL, location 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.Working at AbbottAt Abbott, you can do work that matters, grow, and learn, care for yourself and 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.Free medical coverage for employees* via the Health Investment Plan (HIP) PPO.An excellent retirement savings plan with 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 around the world 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 a best place to work for diversity, working mothers, female executives, and scientists.The
Staff Data Scientist, Digital Solutions,
reports to the
Senior Manager of AI product Development , Digital Solutions.
The
Staff Data Scientist role
will
closely work with cross-functional product teams and
be 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
Staff 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.WHAT YOU’LL DOConduct exploratory data analysis to identify patterns and trends and inform the development of robust algorithms.Design, develop, and optimize predictive models using machine learning to solve complex problems on large-scale data sets, ultimately optimizing and increasing 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 cross-functional technical and non-technical stakeholders to understand the complexity of the domain, explain the application of complex machine learning concepts, and translate them into technical solutions.Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.Stay current with the latest advancements in machine learning research and implement relevant technologies to deliver state-of-the-art data science solutions.EDUCATION AND EXPERIENCE YOU’LL BRINGRequired:Master’s Degree in Data Science, Computer Science, Statistics, or a related field.4-6 years of experience in a relevant industrial or academic setting.Experience in the Life Science Industry.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 Python, R, Java, or C#, and SQL.Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy, and statsmodel.Strong problem-solving and critical thinking skills.Excellent written and verbal communication skills to convey complex technical concepts and findings to non-technical stakeholders.Preferred:Previous experience in healthcare technology or related fields.Experience working in Cloud Computing environments (e.g., AWS, Azure, GCP).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.WHAT WE OFFERAt Abbott, you can have a good job that can grow into a great career. We offer: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.Paid time off401(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:
http://www.abbottbenefits.com/pages/candidate.aspxFollow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.Connect with us at
www.abbott.com
, on Facebook at
www.facebook.com/Abbott
and on Twitter @AbbottNews and @AbbottGlobal.The base pay for this position is
$95,000.00 – $190,000.00.In specific locations, the pay range may vary from the range posted.JOB FAMILY:
Research and DiscoveryDIVISION:
MD Medical DevicesLOCATION:
United States > Chicago : Willis Tower Building 233 S Wacker Dr.ADDITIONAL LOCATIONS:
WORK SHIFT:
StandardTRAVEL:
Yes, 10% of the TimeMEDICAL SURVEILLANCE:
Not ApplicableSIGNIFICANT WORK ACTIVITIES:
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:
http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol:
http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
#J-18808-Ljbffr
This position is open to our Chicago, IL, location 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.Working at AbbottAt Abbott, you can do work that matters, grow, and learn, care for yourself and 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.Free medical coverage for employees* via the Health Investment Plan (HIP) PPO.An excellent retirement savings plan with 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 around the world 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 a best place to work for diversity, working mothers, female executives, and scientists.The
Staff Data Scientist, Digital Solutions,
reports to the
Senior Manager of AI product Development , Digital Solutions.
The
Staff Data Scientist role
will
closely work with cross-functional product teams and
be 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
Staff 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.WHAT YOU’LL DOConduct exploratory data analysis to identify patterns and trends and inform the development of robust algorithms.Design, develop, and optimize predictive models using machine learning to solve complex problems on large-scale data sets, ultimately optimizing and increasing 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 cross-functional technical and non-technical stakeholders to understand the complexity of the domain, explain the application of complex machine learning concepts, and translate them into technical solutions.Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.Stay current with the latest advancements in machine learning research and implement relevant technologies to deliver state-of-the-art data science solutions.EDUCATION AND EXPERIENCE YOU’LL BRINGRequired:Master’s Degree in Data Science, Computer Science, Statistics, or a related field.4-6 years of experience in a relevant industrial or academic setting.Experience in the Life Science Industry.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 Python, R, Java, or C#, and SQL.Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy, and statsmodel.Strong problem-solving and critical thinking skills.Excellent written and verbal communication skills to convey complex technical concepts and findings to non-technical stakeholders.Preferred:Previous experience in healthcare technology or related fields.Experience working in Cloud Computing environments (e.g., AWS, Azure, GCP).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.WHAT WE OFFERAt Abbott, you can have a good job that can grow into a great career. We offer: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.Paid time off401(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:
http://www.abbottbenefits.com/pages/candidate.aspxFollow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.Connect with us at
www.abbott.com
, on Facebook at
www.facebook.com/Abbott
and on Twitter @AbbottNews and @AbbottGlobal.The base pay for this position is
$95,000.00 – $190,000.00.In specific locations, the pay range may vary from the range posted.JOB FAMILY:
Research and DiscoveryDIVISION:
MD Medical DevicesLOCATION:
United States > Chicago : Willis Tower Building 233 S Wacker Dr.ADDITIONAL LOCATIONS:
WORK SHIFT:
StandardTRAVEL:
Yes, 10% of the TimeMEDICAL SURVEILLANCE:
Not ApplicableSIGNIFICANT WORK ACTIVITIES:
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:
http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol:
http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
#J-18808-Ljbffr