Role: - Senior Data Science Analyst
Bill Rate: $78/hour C2C
Location: Rochester, MN
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Skype
Direct Client Requirement
Job details:
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 involve managing 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 cloud-based 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 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.
Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible
Srinivasa Reddy Kandi
Client Delivery Manager
Valiant Technologies LLC
Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law