OVERVIEW:

Our client is seeking a 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.
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.

Key Responsibilities:

• May work with knowledge architects, informaticians and clinicians at client, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.
• 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.
• 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.
• 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.
• Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
• 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.

Position Requirements:

• 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.
• Expertise in the use of scientific computing and data management packages.
• Ability to prioritize, organize, and delegate various tasks on projects.
• Demonstrated initiative in administration, education (seminars, training), software development, and technical reports.
• Demonstrated success in project management and communication skills.
• 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.
• Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
• Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required.
• Strong time management skills are required.
• Requires strong analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills, and a commitment to customer service.
• Experience with data modeling and data exploration tools.

PREFERRED SKILL:

• Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance.

EDUCATION REQUIREMENTS:

• Bachelor’s degree in relevant fields such as engineering, mathematics, computer science, or health science.
• At least Twelve (12) graduate level semester hours in domain-relevant sciences.OR
• Seven (7) years or more of data science and AI experience.

Additional Information:

• Fully Remote
• W2 Candidates Only

• May work with knowledge architects, informaticians and clinicians at client, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.
• 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.
• 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.
• 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.
• Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
• 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