About
Job Description
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 103,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
Summary:
Responsible for analyzing data, drawing insights, and presenting results in a cohesive, intuitive, and simplistic manner to the business partner utilizing technologies to collect, clean, analyze, predict, and effectively communicate information
Responsibilities:
Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the business partner
Utilize technologies to collect, clean, analyze, predict, and effectively communicate information such as model logic and restrictions
Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and proactively identifies opportunities for significant operational, process or system level product improvements for the business partner
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.
Work closely with the business to understand the domain and iteratively refine analyses
Supervisory / Management Responsibility:
Coach and mentor junior data scientists and provide technical/analytical guidance when needed
Experience in recruiting, managing, training, and retaining a team of data scientists
Provide learning and educational pathways for team members
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.
Position Accountability/ Scope:
Independently manages and consults in multiple complex projects working with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need
Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks
Researches and adapts existing open-source algorithms when possible, and develops novel techniques when needed
Qualifications:
Bachelor's Degree
* 4-6 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
Preferred Qualifications:
Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred
This position can be filled as a Senior Data Scientist or Data Scientist depending on experience.
JOB FAMILY:Research and Discovery
DIVISION:ATM Transfusion
LOCATION:United States > Lake Forest : CP01 Floor-3
ADDITIONAL LOCATIONS:
WORK SHIFT:Standard
TRAVEL:Yes, 10 % of the Time
MEDICAL SURVEILLANCE:No
SIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
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