Teradata: Senior Analytic Engineer – Data Sciences
Seeking a candidate to work in collaboration with other members of engineering to design and implement highly parallel functions that span Mathematical Statistics, Numerical Analysis, Statistical Pattern Recognition, Time Series, Machine Learning, Game Theory, and Deep Learning.
Company: Teradata
Location: Santa Clara, CA
Web: www.teradata.com
Position: Senior Analytic EngineerData Sciences
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Apply online.
As the recognized leader in data and analytics, Teradata is all about empowering highimpact business outcomes to unleash the potential of great companies.
As a member of the analytics team, the candidate will work in collaboration with other members of engineering to design and implement Aster’s highly parallel functions that span Mathematical Statistics, Numerical Analysis, Statistical Pattern Recognition, Time Series, Machine Learning, Game Theory, and Deep Learning. Teradata functions are enterprise quality functions that can process massive data at linear scalability and high performance.
We encourage our scientists and engineers to participate in developing key intellectual property (IP) for Teradata by writing patents, publishing in international conferences and journals, and attending conferences.
Key Areas of Responsibility:
 Research, Prototype, Design and implementation of highly scalable parallel advanced analytics and machine learning algorithms, running on Aster’s MPP platform, using its Java and C function APIs.
 Collaborate closely with platform, Quality Assurance and UI engineering for end to end design and implementation of the analytic functions and features
 Evaluate, investigate, and optimize the performance of the analytic functions for various input configurations
 Drive the development and support of key analytic features and functions throughout its life cycle, from conception to support and enhancement
 Support continuous improvement by investigating alternative algorithms and technologies and presenting them for architectural review
Requirements:
 Mastery in Java, C++, and Python
 Object Oriented analysis and design using common design patterns
 Experience with numerical analysis programming
 Ability to design and implement complex analytics and machine learning algorithms, and in particular linearly scalable parallel algorithms
 Ability and passion to iteratively assess, tune and improve the quality to make highly competitive products
 PhD degree in computer science/mathematics/statistics/physics/engineering/Economics preferred (or equivalent work experience)
 Experience in Hadoop, Spark, TensorFlow, and related technologies a plus
Apply to: https://teradata.taleo.net/careersection/prof/jobdetail.ftl?job=170227
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