Job ID: 28440BR
Job date: 2017-02-18
End Date:
Company : Cerner Corporation Country : Role : Technician
Job date: 2017-02-18
End Date:
Company : Cerner Corporation Country : Role : Technician
Job Description:
As a data scientist working with Cerner Technology Services and Enterprise Data Management you will work on challenging, top-tier problems originating from a wide spectrum of internal business and IT use cases and processes. Creativity, communication skills, a drive for learning, and flexibility towards both problem spaces and statistical methodologies characterize the successful candidate who will join this team. You will be challenged to extract insight from structured and unstructured data to inform the problem at hand through successful collaboration and innovation with business subject matter experts, process owners, and IT data engineering teams. Becoming versed in relevant business glossary and contextual processes, you will potentially engineer data extraction from internal and external sources, evaluate the data’s relevance to and reflection of the business and problem setting, and select and apply appropriate feature engineering, statistical, and machine learning techniques and treatments to develop and evaluate several models. At a minimum you will add documented insight to the problem space and tractability of the selected approaches; at a performant level you will create and deploy statistical models that provide novel insights, predictions, and actionable feature levers and/or targets that the business may use to optimize outcomes. Key responsibilities -Apply modern data storage, movement, and transformation architectures and techniques to extract and engineer features from any scale structured or unstructured data. -Iteratively select and apply modern statistical and machine learning techniques and evaluation methods to engineered features to derive a best candidate model. -Communicate implications, limitations, dependencies, and other deployment guidelines of a model or data analysis result at all levels – executive decision maker, end user, and technical audiences. -Work within a modern software or analytic development lifecycle methodology as appropriate to the problem and business owner, to include collaboration with engineering teams to deploy a model/algorithmic discovery into another platform and/or language when architecturally necessary. -Drive strategic-level business planning through rapid prototyping, data-driven research proposals, and/or demonstrations. -Create appropriate visualizations to articulate a data story. -Independently manage significant issues and projects of a unique nature. -Review literature, white papers, vendor announcements, etc. to stay aware of key data science, data engineering, machine learning, and predictive modeling techniques, methods, platforms, etc. Qualifications: Desired Skills: -Excellent interpersonal, written, and verbal communication skills at all levels- executive decision-maker, end user, or technical audiences. -Experience rapidly prototyping, evaluating, and gathering feedback to iterate toward an acceptable business outcome. -Experience working with small teams in entrepreneurial environments. -Familiarity with agile software and analytics development methodologies or approaches, to include various source control systems. Basic Qualifications: -Master’s degree in a mathematics, statistics, or a data analysis oriented field such as statistics, mathematics, computer science, physics, economics, operations research, bioinformatics, etc. with experience in statistical modeling, predictive analytics, quantitative analysis, data mining, etc. -4+ years of work or research experience in the practical application of statistical learning algorithms across regression, classification, and unsupervised problems, to include more modern machine learning and non-linear techniques (trees, neural networks and extensions into deep learning, etc.) -4+ years of demonstrated programming skill in at least one language like R, Python, Scala, Java, C#, etc. using available statistical and machine learning related libraries/packages/extensions on real-world problems and data. -2+ year of experience obtaining data from SQL-compliant data sources. -Must be currently residing in or willing to relocate to Kansas City. Preferred Qualifications: In addition to the skills and experiences listed above: -Ph.D. in Data Mining, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, or data-analysis related field. -6+ years of work or research experience in the practical application of statistical learning algorithms across regression, classification, and unsupervised problems, to include more modern machine learning and non-linear techniques (trees, neural networks and extensions into deep learning, etc.) -6+ years of demonstrated programming skill in two or more languages like R, Python, Scala, Java, C#, etc. using available statistical and machine learning related libraries/packages/extensions on real-world problems and data. -2+ years of work or research experience with modern compute and storage approaches such as Spark or Hadoop in cloud brokered environments like Azure, AWS, etc. or on-premise configurations. -3+ years of experience obtaining data from any manner of source: databases (SQL and NoSQL/document such as MongoDB, Couchbase, Cassandra, etc.), APIs, scraping, etc.
Additional Info:
Cerner Technology Services (CTS) is a fast growing, critical organization to Cerner's success. As Cerner’s internal hosting, managing, and monitoring organization for infrastructure as well as internal and cloud applications and services, we are the frontline of Cerner’s IT footprint responsible for multiple levels of service and infrastructure availability, security, and disaster recovery while simultaneously providing superior performance, reliability, and scalability at optimal financial commitment levels. We enable Cerner and client health care organizations to achieve their business outcomes by leveraging the most sophisticated and powerful IT solutions available today through our state-of-the-art data centers and cloud brokerage. Applicants for U.S. based positions with Cerner Corporation must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Some Cerner positions may be obligated to comply with client-facing requirements and occupational health requests, including but not limited to, an immunization set, an annual flu shot, an annual TB screen, an updated background check, and/or an updated drug screen. Relocation Assistance AvailableYes - Domestic/Regional Company Overview: Be a part of something that matters. Something that affects every single person, every single day—people’s health and the care they receive. Cerner has a revolutionary vision for health care, from the cloud to the desktop, we design, develop and deploy technology that will bring health care into the 21st century. We provide solutions for single offices to entire countries, Cerner solutions are licensed by over 14,000 health care venues around the world. Cerner’s policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Cerner is proud to be a drug-free workplace. [Click Here to Access the Original Job Post]
As a data scientist working with Cerner Technology Services and Enterprise Data Management you will work on challenging, top-tier problems originating from a wide spectrum of internal business and IT use cases and processes. Creativity, communication skills, a drive for learning, and flexibility towards both problem spaces and statistical methodologies characterize the successful candidate who will join this team. You will be challenged to extract insight from structured and unstructured data to inform the problem at hand through successful collaboration and innovation with business subject matter experts, process owners, and IT data engineering teams. Becoming versed in relevant business glossary and contextual processes, you will potentially engineer data extraction from internal and external sources, evaluate the data’s relevance to and reflection of the business and problem setting, and select and apply appropriate feature engineering, statistical, and machine learning techniques and treatments to develop and evaluate several models. At a minimum you will add documented insight to the problem space and tractability of the selected approaches; at a performant level you will create and deploy statistical models that provide novel insights, predictions, and actionable feature levers and/or targets that the business may use to optimize outcomes. Key responsibilities -Apply modern data storage, movement, and transformation architectures and techniques to extract and engineer features from any scale structured or unstructured data. -Iteratively select and apply modern statistical and machine learning techniques and evaluation methods to engineered features to derive a best candidate model. -Communicate implications, limitations, dependencies, and other deployment guidelines of a model or data analysis result at all levels – executive decision maker, end user, and technical audiences. -Work within a modern software or analytic development lifecycle methodology as appropriate to the problem and business owner, to include collaboration with engineering teams to deploy a model/algorithmic discovery into another platform and/or language when architecturally necessary. -Drive strategic-level business planning through rapid prototyping, data-driven research proposals, and/or demonstrations. -Create appropriate visualizations to articulate a data story. -Independently manage significant issues and projects of a unique nature. -Review literature, white papers, vendor announcements, etc. to stay aware of key data science, data engineering, machine learning, and predictive modeling techniques, methods, platforms, etc. Qualifications: Desired Skills: -Excellent interpersonal, written, and verbal communication skills at all levels- executive decision-maker, end user, or technical audiences. -Experience rapidly prototyping, evaluating, and gathering feedback to iterate toward an acceptable business outcome. -Experience working with small teams in entrepreneurial environments. -Familiarity with agile software and analytics development methodologies or approaches, to include various source control systems. Basic Qualifications: -Master’s degree in a mathematics, statistics, or a data analysis oriented field such as statistics, mathematics, computer science, physics, economics, operations research, bioinformatics, etc. with experience in statistical modeling, predictive analytics, quantitative analysis, data mining, etc. -4+ years of work or research experience in the practical application of statistical learning algorithms across regression, classification, and unsupervised problems, to include more modern machine learning and non-linear techniques (trees, neural networks and extensions into deep learning, etc.) -4+ years of demonstrated programming skill in at least one language like R, Python, Scala, Java, C#, etc. using available statistical and machine learning related libraries/packages/extensions on real-world problems and data. -2+ year of experience obtaining data from SQL-compliant data sources. -Must be currently residing in or willing to relocate to Kansas City. Preferred Qualifications: In addition to the skills and experiences listed above: -Ph.D. in Data Mining, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, or data-analysis related field. -6+ years of work or research experience in the practical application of statistical learning algorithms across regression, classification, and unsupervised problems, to include more modern machine learning and non-linear techniques (trees, neural networks and extensions into deep learning, etc.) -6+ years of demonstrated programming skill in two or more languages like R, Python, Scala, Java, C#, etc. using available statistical and machine learning related libraries/packages/extensions on real-world problems and data. -2+ years of work or research experience with modern compute and storage approaches such as Spark or Hadoop in cloud brokered environments like Azure, AWS, etc. or on-premise configurations. -3+ years of experience obtaining data from any manner of source: databases (SQL and NoSQL/document such as MongoDB, Couchbase, Cassandra, etc.), APIs, scraping, etc.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Machine Learning
- Modeling
- Programing in Python
- Programing Skills
- Programming in C#
- Programming in Java
- Programming in R
- SQL
- Statistics
Additional Info:
Cerner Technology Services (CTS) is a fast growing, critical organization to Cerner's success. As Cerner’s internal hosting, managing, and monitoring organization for infrastructure as well as internal and cloud applications and services, we are the frontline of Cerner’s IT footprint responsible for multiple levels of service and infrastructure availability, security, and disaster recovery while simultaneously providing superior performance, reliability, and scalability at optimal financial commitment levels. We enable Cerner and client health care organizations to achieve their business outcomes by leveraging the most sophisticated and powerful IT solutions available today through our state-of-the-art data centers and cloud brokerage. Applicants for U.S. based positions with Cerner Corporation must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Some Cerner positions may be obligated to comply with client-facing requirements and occupational health requests, including but not limited to, an immunization set, an annual flu shot, an annual TB screen, an updated background check, and/or an updated drug screen. Relocation Assistance AvailableYes - Domestic/Regional Company Overview: Be a part of something that matters. Something that affects every single person, every single day—people’s health and the care they receive. Cerner has a revolutionary vision for health care, from the cloud to the desktop, we design, develop and deploy technology that will bring health care into the 21st century. We provide solutions for single offices to entire countries, Cerner solutions are licensed by over 14,000 health care venues around the world. Cerner’s policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Cerner is proud to be a drug-free workplace. [Click Here to Access the Original Job Post]