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Our client is seeking Data Scientists to perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities.

Requirements

• Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data.
• Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.
• Expertise in the use of scientific computing and data management packages.
• Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.
• Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.) required.
• Experience with data modeling and data exploration tools.
• Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.

Responsibilities

• Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required.
• May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques.
• Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
• Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
• Leads the interpretation of data analysis and writing reports.
• May work with knowledge architects, informaticians and clinicians at client, and partneroutside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.

Other

• May provide consultative services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.
• The successful candidate will need to have both technical and business background/experience along with strong leadership skills.
• Good written and oral communication skills are required.
• Ability to prioritize, organize, and delegate various tasks on projects.
• Demonstrated initiative in administration, education (seminars, training), software development, and technical reports.