Senior Data Scientist

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 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
ABOUT ABBOTT DIAGNOSTICS:
The key to successful treatment and full recovery is often fast, accurate diagnosis. Abbott's life-changing tests and diagnostic tools provide insights that enable smarter, faster decisions and transform the way the world is managing health.
Our pioneering technology spans the world of healthcare operations - with medical diagnostic instruments, tests, automation and informatics solutions for hospitals, reference labs, blood centers, emergency departments, physician offices and clinics.
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.
• 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 the best place to work for diversity, working mothers, female executives, and scientists.

TheOpportunity:
Our Diagnostics business currently has an opportunity for the role of SeniorData Scientistfor our Lake Forest, IL location. The primary function of this position is to create predictive maintenance algorithms that detect impending failures before they occur leading to increased uptime and greater laboratory productivity. Using Abbottlink to monitor and collect data from an array of instrument sensors, the team designs algorithms using the latest concepts in Deep Learning and Artificial Intelligence and deploys them to production in a custom solution that integrates with the service ticketing backend to automatically deploy field service engineers.
What You'll Work On:

• Conduct exploratory data analysis to identify patterns and trends, informing the development of robust algorithms.
• Design, develop and optimize machine learning models to solve complex problems.
• Monitor and track model performance in production, 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.
• Retrain existing machine learning models in to adapt the models to the latest developments in field conditions, instrument software and hardware updates, and service procedures.
• Work closely with stakeholders to understand business requirements and translate them into technical solutions.
• Collaborate with service field personnel on service ticketing issues, algorithm deployment, and other field questions or concerns.
• Stay up to date with the latest advancements in machine learning research and implement relevant technologies to drive continuous improvement.
• Create and maintain documentation required to operate in a regulated medical device space.
• Collaborate with Data Scientists and data engineers to define data requirements, clean and prepare data for training, evaluate model performance, and integrate models into scalable, production-ready systems.
• Build and maintain machine learning pipelines, including data ingestion, feature engineering, model training and deployment.
• Communicate effectively with technical and non-technical stakeholders, explaining complex machine learning concepts and the impact of your work.

EDUCATION AND EXPERIENCE YOU'LL BRING
Minimum Qualifications:

• Bachelor's Degree in Computer Science, Data Science, or a related field and 3+ years experience as a machine learning engineer or similar role.
• Proficient in R / Python (TensorFlow, Keras, PyTorch etc.) and SQL.
• Strong understanding of core machine learning concepts, algorithms, and techniques.
• Experience with data cleaning, wrangling, feature engineering, and model evaluation.
• Experience with cloud platforms like AWS, Azure, or GCP.
• Commitment to staying up to date on industry trends and technologies.
• Excellent written and verbal communication skills to convey complex technical concepts to non-technical stakeholders and collaborate effectively across teams.

Preferred Qualifications:

• Advanced degree in Computer Science, Data Science, or closely related discipline is preferred.

Learn more about our benefits that add real value to your life to help you live fully: http://www.abbottbenefits.com/pages/candidate.aspx. Follow your career aspirations to Abbott for diverse opportunities with a company that provides 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 Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is
$72,700.00 - $145,300.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Research and Discovery
DIVISION:
HIAC Core Lab
LOCATION:
United States > Lake Forest : CP01
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Yes, 5 % of the Time
MEDICAL SURVEILLANCE:
No
SIGNIFICANT 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