Senior Data Analyst - CV data science- on site in Rochester MN
Senior Data Analyst - CV data science- on site in Rochester MN
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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 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.
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 largescale 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.
Other responsibilities:
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.
Qualifications
A Bachelors degree in a relevant field such as engineering mathematics computer science health science and at least 12 graduate level semester hours in domainrelevant sciences or seven years or more of data science and AI experience.
The preferred candidate will:
- Posses a PhD or Masters degree with one year experience 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.
- Have : 4 years of handson experience in AI/ML.
- Technical skills: Experience with cloud platforms (e.g. GCP AWS) strong programming skills in Python and libraries such as PyTorch Transformers SQL TensorFlow. Exceptional organizational skills.
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 ability to develop predictive and prescriptive models on largescale datasets to address various business problems through leveraging advanced statistical modeling machine learning or data mining techniques. Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problemsolving methodologies planning techniques continuous improvement methods project management 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. Strong interpersonal skills to include presentation negotiation persuasion and written communications skills are required. Strong time management skills also are required. In addition 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 date exploration tools.
Required Experience:
Senior IC
Employment Type
Full-Time
