Senior Data Scientist

Job description

Have you ever wanted to make a difference?

At Abbott, you will play a crucial role to help people live more fully at all stages of their lives. Abbott is a global healthcare leader and our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional products and branded generic medicines. Our 113,000 colleagues have a daily impact on the life of people in more than 160 countries.

Abbott Ireland

In Ireland, Abbott employs over 5,000 people across nine sites. We currently have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott also has commercial, support operations and shared services in Dublin and Galway. We have been making a difference in the lives of Irish people since 1946.

Diabetes Care Kilkenny

Our new manufacturing facility in Kilkenny, opening in 2024, reflects the growing demand for Abbott's global Diabetes Care products. The facility will be a centre for world-class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies, including the FreeStyle Libre 3, a system that automatically delivers real-time, up-to-the-minute glucose readings, with the smallest and thinnest wearable glucose sensor that provides unsurpassed 14-day accuracy and optional glucose alarms directly to smartphones. This enables people with diabetes to live the best and fullest lives they can.

At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.

This is how you can make a difference at Abbott:

As Senior Data Scientist you will coach and mentor junior data scientists and provide technical/analytical guidance when needed. You will provide input into developing departmental and site processes and procedures as well as guiding and otherwise contribute to technical teams in the development, deployment, and application of applied analytics, predictive analytics, prescriptive analytics, etc.

It will be a very big plus if you can bring experience in developing projects or sites from square one.

In This Role You Will

  • 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.

Qualifications And Experience

  • Bachelor’s Degree in 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 a closely related discipline is preferred.
  • Work-related experience with a 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.

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Abbott is an equal opportunities employer.

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