Humana’s Clinical Trend and Analytics Team is seeking a Senior Data Engineer.
The Clinical Trend and Analytics team uses advanced scientific techniques, forecasting, and machine learning to predict financial and clinical outcomes in order to guide investments that improve health outcomes and reduce costs. In this exciting start-up environment, you'll have the opportunity to develop data science processes from the ground up and work directly with decision-making executives to shape the future of Humana's most important strategic initiatives.
We think big and relentlessly innovate to redefine the future of healthcare with data science.
We are seeking a Senior Data Engineer to design and implement cutting edge data processes and to take machine learning and forecasting solutions from concept to production.
Acquire/possess in depth understanding of the Azure ML DevOps to deploy/automate/monitor machine learning and forecasting models in production
Possess in depth understanding of building ingestion & data processing pipelines, from batch to streaming
Possess in depth understanding of computer science parallelism concepts and efficient data processing techniques suitable for machine learning applications
Architect and implement ETL / machine learning product solutions using best practices in the Azure cloud environment
Understand available data, including both structured and unstructured formats, and recommend effective ways for storage and analytical processing in the cloud
Comfortable working in a fast paced agile environment, closely interacting with business and some of industry’s best data scientists and engineers
Bachelor's degree in Computer Science, Technology, Analytics or related field or equivalent experience
5+ years of technical experience
1-2 years of working in a Cloud environment
Experience taking complex data and making it more accessible, understandable and usable for leaders to derive insights
Proven experience taking advanced data science concepts to production
Experience with data extraction and analysis technologies such as SAS, SPSS, QlickView, Hadoop, ETL, SQL or similar tools
Flexible, dynamic personality who is able to work independently in a start-up environment
Master's degree in Computer Science, Technology, Analytics or related field
Healthcare or managed care experience
Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. Consumers expect more personalized and holistic experiences from their health partners. Humana’s Enterprise Clinical Operating Model (ECOM), is a multi-year strategy with the goal of improving member experiences and health outcomes through better integrating Humana's processes, technology and clinical capabilities. The person occupying this role will be instrumental in executing on the vision of ECOM in partnership with leaders and teams across Humana. Ideally, this position would be located in Louisville, KY. However we could consider another Humana location or telecommute for the right candidate.
Scheduled Weekly Hours40