Data Scientist

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:

Performs quantitative analysis and data management for analytics studies utilizing technologies to collect, clean, analyze, predict, and effectively communicate information.

Main Responsibilities:

• Particularly skilled in quantitative analysis and data management

• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information

• Able to examine relevant data and quickly develop an analysis plan that will answer key business questions and create value for the client

• Understanding of 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

• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need

• Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client

• Work closely with the business to understand the domain and iteratively refine analyses

• Supervisory / Management Responsibility:

• Able to train and develop junior data scientists and provide technical/analytical guidance when needed

• Moves own work forward with limited direction through use of frameworks and structure

• Helps to scope studies – timeline, expected outcomes, resources, etc.

• Proactive thinking and ideation to facilitate ongoing, open dialogue where information and ideas are shared to generate solutions

Position Accountability/ Scope:

• Proactively contributes to multiple projects to support the solution design process and delivers the analytical models and algorithms to achieve business value

• Relevant skills include applied mathematics, statistics, calculus, quantitative or statistical methods or techniques, data mining, informatics, machine learning, data science, programming, computational algorithms, information retrieval (i.e. organizing, structuring data), working with databases or data structures, artificial intelligence, natural language processing, Bayesian inference, Markov logic, software engineering and/or systems design analysis

Qualifications:

• 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 closely related discipline is preferred

• Minimum of 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

• Prior experience/education in life sciences or healthcare preferred

** This position is not eligible for sponsorship.

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