Principal Data Scientist
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Job Description
Principal Data Scientist contributing to healthcare technology solutions through advanced analytics and data science. Leading projects that integrate machine learning and predictive modeling for healthcare data analysis.
Responsibilities:
- Designs, develops, programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools
- Builds analytic models to identify and quantify solutions to business problems
- Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers
- Determines probable future outcomes and recommends and delivers new business process improvements
- Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets
Requirements:
- 6+ years of relevant experience in statistics and machine learning
- Extensive knowledge of data science methodologies including supervised and unsupervised machine learning, and generative AI applications
- Experience with writing SQL to query multi-dimensional and/or relational databases
- Experience in developing machine learning and AI solutions using Python
- Experience with data cleansing, validation, and general quality control principles
Benefits:
- generous, flexible vacation policy
- educational assistance
- comprehensive health benefits
- 401(k) employer match
- leadership and technical development academies
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