Overview

Senior Analytic Algorithmic Engineer-Data Science-173200

Our Company
Teradata empowers companies to achieve high-impact business outcomes through analytics. With a powerful combination of Industry expertise and leading hybrid cloud technologies for data warehousing and big data analytics, Teradata unleashes the potential of great companies. Partnering with top companies around the world, Teradata helps improve customer experience, mitigate risk, drive product innovation, achieve operational excellence, transform finance, and optimize assets. Teradata is recognized by media and industry analysts as a future-focused company for its technological excellence, sustainability, ethics, and business value.
The Teradata culture isn’t just about one kind of person. So many individuals make up who we are, making us that much more unique. It’s what sets apart the dynamic, diverse and collaborative environment that is Teradata. But even as individuals, there’s one thing that we all share —our united goal of making Teradata and our people, the best we can be.

Job Summary: 

Teradata Aster R&D Labs is seeking exceptional candidates proficient in advanced analytics to join our research and development organization. Members of Teradata Aster labs are highly accomplished and hold PhDs from top colleges and universities in the world. 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. Aster’s 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.

Responsibilities: 
• 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
• Work with the QA team to develop tests and verify metrics for analytic functions results and model prediction quality
• 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

Qualifications
• Mastery in Java, C++, and Python
• Object Oriented analysis and design using common design patterns
• Experience with numerical analysis programming
. Proficiency in R, MATLAB, and SAS desirable.
• 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
• Effective communication and presentation skills
Good understanding of distributed systems and parallel data processing
• Strong knowledge in relational database and SQL
• Experience in performance optimization, and building of high performance data processing applications
• Ability to prioritize and work on multiple projects
• Experience with test-driven development
• Ability to work closely and collaborate with others in the team and across functional groups

Preferred Qualifications: 

PhD degree in computer science/mathematics/statistics/physics/engineering/Economics preferred (or equivalent work experience)
Exceptional Master of Science/Arts graduates will be given consideration
Experience in developing database applications a plus
Experience in Hadoop, Spark, TensorFlow, and related technologies a plus

* Our total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage.

Teradata is an Equal Opportunity/Affirmative Action Employer and commits to hiring returning veterans

 

Apply to: https://teradata.taleo.net/careersection/prof/jobdetail.ftl?job=173200 and or send a resume to alice.elliott@teradata.com

About Teradata

Teradata empowers companies to achieve high-impact business outcomes through analytics. With a powerful combination of Industry expertise and leading hybrid cloud technologies for data warehousing and big data analytics, Teradata unleashes the potential of great companies. Partnering with top companies around the world, Teradata helps improve customer experience, mitigate risk, drive product innovation, achieve operational excellence, transform finance, and optimize assets. Teradata is recognized by media and industry analysts as a future-focused company for its technological excellence, sustainability, ethics, and business value.
The Teradata culture isn’t just about one kind of person. So many individuals make up who we are, making us that much more unique. It’s what sets apart the dynamic, diverse and collaborative environment that is Teradata. But even as individuals, there’s one thing that we all share —our united goal of making Teradata and our people, the best we can be.