Data Science Analyst

Mayo Clinic•Rochester, MN

1d•Hybrid

About The Position

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. This Position in hybrid, individual must live within 100 miles driving distance to campus This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. During the selection process, you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question - Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps.

Requirements

Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field.
A minimum of three years of professional or research experience in data science.
Demonstrated ability to develop predictive models 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, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.).
Ability to manage a varied workload of projects with multiple priorities.
Ability to stay current on healthcare trends and enterprise changes.
Interpersonal skills and time management skills.
Strong analytical skills and the ability to identify and recommend solutions.
Advanced computer application skills.
A commitment to customer service.
Experience with data modeling and data exploration tools.

Nice To Haves

Master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field.
A minimum of one year of professional or research experience in data.

Responsibilities

Perform detailed analysis of large bodies of heterogeneous data to discover new patterns and insights impacting patient health and augmenting human capabilities.
Develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.
Apply and modify existing scripts or software applications to support data management, data extraction, data analysis, and AI.
Develop predictive models on datasets to address various business problems using statistical modeling, operations research, machine learning, or data mining techniques.
Provide consultative services to departments/divisions and/or support scientific projects.
Provide data insights for business problems that can be approached with analytics techniques.
Collect, explore, and extract insights from structured and unstructured data.
Execute analytical procedures within the framework of a specific project work request.
Create or modify scripts or software applications to support data management, data extraction, and data analysis.
Contribute to the interpretation of data analysis and to writing reports.
Help customers understand data sets and provide training and suggestions for improvement on data requests.
Leverage communication and interpersonal skills and work with subject matter experts.
Present findings in easy-to-understand terms for the business or clinical practice.