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:

Our Nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow, to keeping adult bodies strong and active. Millions of people around the world count on our leading brands - including Similac®, PediaSure®, Pedialyte®, Ensure®, Glucerna® and ZonePerfect® - to help get the nutrients they need to live their healthiest life.

Our location in Abbott Park, IL currently has an opportunity for a Senior Data Scientist.

WHAT WE OFFER

At Abbott, you can have a good job that can grow into a great career. We offer:

• Training and career development, with on-boarding 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 off
• 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

What You'll Do:• Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information• Prepare both structured and unstructured data for analysis• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client• Conduct advanced statistical analysis to determine trends and significant data relationships• Develop machine learning models to apply test data algorithms to future data• Validate models/analytical techniques, and develop algorithms to execute analytical functions• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.• Proactively identifies opportunities for significant operational, process or system level product improvements.• Communicate model logic and restrictions• Work closely with the business to understand the domain and iteratively refine analyses• Transform analytical results into actionable recommendations for business partners using deep industry knowledge

• Coach and mentor junior data scientists and provide technical/analytical guidance when needed• Provides input into developing departmental and site processes and procedures.• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.

What You'll Bring:

Education

Bachelors Degree (± 16 years):

Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred• Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred

Experience/Background

Minimum 4 years:

Work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree • Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R • Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software• Advanced analytics knowledge and application in the field of• Statistics• Mathematical programming• Business acumen and experience with operational or strategic systems

Licenses and Certifications

Language Proficiency

The salary for this role is between:

N/A

JOB FAMILY:

Research and Discovery

DIVISION:

ANSC Nutrition Supply Chain

LOCATION:

United States > Columbus : RP03

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 25 % of the Time

MEDICAL SURVEILLANCE:

No

SIGNIFICANT WORK ACTIVITIES:

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