Data Scientist

JOB DESCRIPTION:

About Abbott

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.

Abbott in Ireland

Abbott has been operating in Ireland since 1946 and serves the Irish market with a diverse range of healthcare products including diagnostics, diabetes care, medical devices and nutritional products. In Ireland, Abbott currently employs about 6,000 people across ten sites located in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford and Sligo.

Abbott Vascular Clonmel

Abbott Vascular is one of the world's leading vascular care businesses. Abbott Vascular Clonmel is uniquely focused on advancing the treatment of vascular disease and improving patient care by combining the latest medical device innovations with world-class pharmaceuticals, investing in research and development and advancing medicine through training and education. Our broad line of vascular devices Manufactured in Clonmel includes vessel closure, endovascular and coronary technologies–These devices are designed to treat heart attack, stroke, critical limb ischemia and other serious vascular conditions.

Abbott Vascular Clonmel is the largest Abbott Manufacturing facility in Ireland focusing on both manufacturing and research and development of next generation vascular products.

Responsibilities:

• Analyze manufacturing data, draw insights, and present results in a cohesive, intuitive, and simplistic manner
• 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
• 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
• Translates manufacturing data into actionable insight that can be used to increase manufacturing capacity, efficiency and achieve quality objectives
• 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.

Requirements:

• Bachelor's Degree in Computer Science, Data Analytics or similar discipline
• Min 2 years of related work experience, preferably in Manufacturing Analytics
• Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
• Experience in applying data analysis techniques to large data sets
• Advanced analytics knowledge and application in the field of Statistics, Mathematical programming
• Business acumen and experience with operational or strategic systems

The base pay for this position is

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

DIVISION:

LOCATION:

ADDITIONAL LOCATIONS:

WORK SHIFT:

TRAVEL:

MEDICAL SURVEILLANCE:

SIGNIFICANT WORK ACTIVITIES: