Sr Data Scientist Image Processing

RESEARCH & DEVELOPMENT ABBOTT PARK, ILLINOIS, UNITED STATES OF AMERICA.

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.

Depending on experience this position can be filled at a Data Scientist level.

The Sr. Data Scientist position will work with the Advanced Algorithm Development team as part of Data Analytics COE of Abbott Diagnostic Division.

JOB RESPONSIBILITIES:

• Lead and support Data Science/Image Processing projects across Abbott Diagnostic Division R&D COE to develop innovative solutions
• Answer Business questions through the application of Machine Learning and Data Mining techniques
• Collaborate with the business to determine long-term vision and provide analytical support and guidance
• Work with the business to shape analytics opportunities and identify opportunities to use advanced analytics to create value
• 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:

• Provides strategic direction to team and business on Data Science and Image Processing. Provides supervision and learning/developmental opportunities to team
• 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
• Guide team to develop, verify, and validate analytics to address business needs and opportunities
• 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:

• Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred
• 6 years of 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 (MS or PhD) in Life or Physical Science, Computer Science, Industrial Engineering, Bioengineering, Biomedical Engineering or closely related discipline is preferred
• Work experience in applying Data Science techniques on Image Processing and Machine Vision applications is required.
• Strong experience in Image Processing, Computer Vision and Signal Processing applications
• Knowledge of current state of the art in deep learning, CNN/RNN/LSTM architectures
• Work 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.
• Advanced Experience with programming scripts such as Python and/or R.
• Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark and using cloud infrastructure (e.g. AWS).

Please Apply here.