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.
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 from multiple disparate sources.
Champions global initiatives in data sciences.
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