Sr. Data Scientist, Informatics
Description de l'offre
Responsible for analyzing data, drawing insights, and presenting results in a cohesive, intuitive, and simplistic manner as part of a centralized Data Science function working with internal stakeholders and end users.
As part of this process, she/he will utilize technologies, tools and processes to collect, cleanse, analyze, predict, and effectively communicate insights to drive business and clinical efficiencies in a healthcare setting.
Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the internal stakeholder and/or end users.
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 b internal stakeholder and/or end users.
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 scientist
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.
4-6 years' work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree. Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred. 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
or Mathematical programming. Business acumen and experience with operational or strategic systems.
JOB FAMILY:Research and Discovery
LOCATION:United States > Lake Forest : CP01 Floor-2
TRAVEL:Yes, 15 % of the Time
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