Senior Data Engineer
Humana Portland, ME
- Expired: May 07, 2020. Applications are no longer accepted.
The Senior Data Manager supports all aspects of configuration control, data management, and deficiency reporting. The Senior Data Manager work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
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
+ 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
+ Azure 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 Hours
Mission: At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. Recognizing healthcare needs continue to evolve for each person, for each family and for each community, Humana continuously creates innovative solutions and resources that help people live their healthiest lives on their terms -when and where they need it. Our employees are at the heart of making this happen and that's why we are dedicated to building an organization of dynamic talent whose experience and passion center on putting the customer first.
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