The Senior Cognitive/Machine Learning Professional leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Senior Cognitive/Machine Learning Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
Do you get excited with Big Data and Machine Learning? Do you believe technology has a critical role to play in the ongoing healthcare industry transformation? Do you want to be part of a dynamic team that excels in implementing the best big data and machine learning applications? Are you ready to create something new that will positively affect the healthcare and technology industry in a noble and purposeful way?
We are seeking a Senior Cognitive/Machine Learning Professional to design and implement cutting edge machine learning solutions.
Design and develop big data and machine learning solutions for Humana Consumer Analytics
Possess in depth understanding of computer science parallelism concepts and efficient data processing techniques suitable for machine learning applications
Architect and implement ETL solutions using best practices in Hadoop and Spark ecosystem. Understand available data, including both in structured and unstructured formats, and recommend effective ways for storage and analytical processing
Comfortable working in a fast paced agile environment, closely interacting with business and some of industry’s best software engineers and machine learning scientists
BS in Computer Science or related field
Open source contributions and robust portfolio of shipped code at GitHub
Overall 3+ years of experience designing and implementing data processing and/or machine learning applications in big data environment
2+ years of experience with Hadoop and Spark
1+ years of programming experience using Scala
3+ years programming experience using one or more of Java, Python, C++
Familiarity with open source machine learning libraries
3+ years of experience using SQL and traditional data warehouses. Experience with Oracle and IBM Netezza preferred
3+ years of experience developing over Unix/Linux environment
Working knowledge of agile development techniques
Willingness to learn new technologies and comprehend unfamiliar data domains and new business processes quickly
MS/Ph.D. in Computer Science or related field
Experience implementing applications around Natural Language Processing and/or Deep Learning
Experience with data visualization platforms like Tableau
Scheduled Weekly Hours
Equal Opportunity Employer
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