Qualifications And Education Requirements
- MS or advanced degree in Computer Science, Computer Engineering, Math, Statistics, Engineering, a related field, or practical experience is required.
- Understanding of Semantic Layer Architectures to refine and optimize the technical environment for agility and performance.
- 5+ years of experience applying statistics or machine learning techniques development and design working on high availability systems.
- Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Python, JavaScript, R, Data Warehouse, and reporting frameworks, relational or NoSQL database experience, test automation.
- Candidates are expected to be hypothesis driven with passion for data and should be experienced in making data-driven business decisions.
- Candidates must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve complex/ambiguous problems and should be able to communicate complex ideas/concepts in a simpler form to leadership or to partner teams/engineers.
- Must be able to perform effectively as part of a project "team"
- Must be self-motivated and expected to work independently with minimal supervision