Data Science Analyst - Office of Digital Innovation
Data Science Analyst - Office of Digital Innovation
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1 Vacancy
Job Description
Data Scientists at Mayo Clinic 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 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 used to analyze data.
May work with knowledge architects informaticians and clinicians at Mayo 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 datasets to address various business problems by leveraging statistical modeling operations research machine learning or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.
Other responsibilities:
Provides data insights for business problems that can be approached with analytics techniques to collect explore and extract insights from structured and unstructured data.
Has expertise in the data science methods used to analyze data and knowledge of data types topics and scientific challenges and approaches.
Executes analytical procedures in the framework of a specific project work request.
Creates or modifies scripts or software applications to support data management data extraction and data analysis as required.
Contributes to the interpretation of data analysis and to writing reports.
Helps customers understand the data set and provide training and suggestions for improvement on the data request.
Leverages communication and interpersonal skills and works with subject matter experts
Presents findings in easy to understand terms for the business or clinical practice.
Qualifications
Qualifications: A Bachelors degree in a relevant field such as engineering mathematics computer science health science or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.
Preferred Qualifications: The preferred candidate will possess a Masters degree or a PhD in a relevant field such as engineering mathematics computer science health science or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling machine learning or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problemsolving methodologies planning techniques continuous improvement methods and analytical tools and methodologies (e.g. machine learning statistical packages modeling etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.
Required Experience:
IC
Employment Type
Full-Time
