Data Scientist- Abbott Park, IL

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 122,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Data Scientist

About Abbott

Abbott is a global healthcare leader, creating breakthrough science to improve people's health. Our Nutrition business develops science-based products for people of all ages—from helping babies and children grow to keeping adult bodies strong and active. Millions around the world rely on our leading brands, including Similac®, PediaSure®, Pedialyte®, Ensure®, and Glucerna®, to live their healthiest lives.

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 the FreeU education benefit—an affordable and convenient path to earning a bachelor’s degree.
• Recognition globally as a great place to work, and for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Abbott Park, IL in the Nutrition Division.The Data Scientist analyzes and interprets complex data to help organization make informed decisions, where the focus is on data analysis and model building. They are responsible for cleaning & preparing data for analysis; applying statistical methods and machine learning algorithms; building predictive models; visualizing data and presenting insights to stakeholders. The data scientist uses data that engineers have collected, stored, and processed in order to generate insights and build models.

WHAT YOU’LL DO

• Collaborates with cross-functional teams to understand data needs and identify new opportunities to transform data intoactionable insights that drive business decision
• Designs and implements machine learning models and algorithms to solve complex business problems, ensuring they arescalable and maintainable.
• Performs advance advanced statistical analysis on large datasets to uncover trends, significant data relationships and extractsinsights that inform strategic decisions.
• Create comprehensive reports and visualizations to effectively communicate data-driven insights to stakeholders, ensuring clarityand impact
• Chooses the appropriate machine learning algorithm for the given business problem/use case, understanding the trade-offsbetween various algorithms used.
• Work closely with the business to iteratively refine analyses
• Identifies opportunities for operational, process or system-level improvement
• Considers issues from different perspectives and question information validity and assumptions.
• Scopes and plans projects of small to intermediate size
• Builds analytic data sets for exploration and modeling, including strong ability working with unstructured data sets
• Develops an analysis plan that will answer key business questions and create value for the client. As the project progressesscans continuously for opportunities to adjust scope and targets based on the evolving knowledge.
• Stays updated on trends and best practice approaches in data science
• Gives direction and mentoring to less senior Data ScientistsSupervisory / Management Responsibility
• Works with a high degree of autonomy, while remaining aligned to tactical and strategic objectives and seeks guidance when needed.
• Completes assignments of intermediate complexity.
• Makes a leading contribution to the development of a collaborative, goal-driven environment.
• Highly influential in the development of less senior Data Scientists
• Provides input into developing departmental and site processes and procedures.
• Independently manages multiple complex projects
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria
• Experienced in creating and implementing machine learning algorithms and advanced statistics such as: regression, time-seriesforecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks
• Applies in-depth knowledge of the spectrum of mainstream commercial and open-source data science/analytics software tools,their constraints, advantages, disadvantages and areas of application; Has advanced skill in using at least one such tool.
• Advanced programming skills.
• Ability to interpret an existing script of high complexity.

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