Senior Data Science Analyst Remote
Senior Data Science Analyst Remote
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Job Description
This specific SDSA opening is for a role on the team that will consist of 50 project work and 50 DevOps work. The DevOps portion of the role will primarily be to support the suite of models that are currently in production and those that will be developed in the future. The ideal candidate will seek to develop an infrastructure to monitor models that are in production (ensure data pipeline are running correctly check model predictions etc. monitor usage by the enduser and set up alerts as to when and if it may be time to retrain production models.
Proficiency with R is required as this role will involvemanaging our existing packages for standardized data pulling and developing new R packages that streamline critical aspects of model deployment including automated model versioning standardized feature engineering CI/CD pipelines for reproducible workflows automated testing and seamless deployment as well as monitoring and logging of model performance and integration with cloudbased services. Experience with Python is also a positive.
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.
This Position is 100 Remote can work from anywhere within the United States
** Visa sponsorship is not available for this position; Also Mayo Clinic DOES NOT participate in the F1 STEM OPT extension program**
During the selection process you may participate in an OnDemand (prerecorded) 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 rerecord 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. We value your interest in the role and look forward to hearing back from you.
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 possess 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.
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 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.
Preferred qualifications:
Extensive background in R programming
Experience programming in Python
Methodological experience with modeling and data acquisition
Required Experience:
Senior IC
Employment Type
Full-Time
