Data Scientist Algorithmic Development Engineer

Requisition Number: 212382

External Description:

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’s Product Group is seeking exceptional candidates proficient in advanced analytics to join our research and development organization. Members of Teradata’s Product Group are highly accomplished and hold MSc and PhDs from top colleges and universities in the world. As a member of the Data Science Engineering team, the candidate will work in collaboration with other members of engineering to research, design, and implement Teradata Analytics Platform analytic functions (Machine Learning, Statistical, Text, and others). Teradata’s Analytics Platform functions are enterprise quality distributed and highly parallel 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 MPP Advanced Analytics Platform, using C function APIs. 
• Collaborate closely with the platform, Quality Engineering, and other engineering teams for end-to-end design and implementation of the analytic functions.
• Work with the QE 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. 
• Drive the development and support of key analytic features and functions throughout its life cycle, from conception to support and enhancement 
• Investigate alternative algorithms and designs and present them for architectural review 

Qualifications

Mastery in C

• Strong foundations in linear algebra, statistics, machine learning
• 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 
• Experience with relational databases and SQL 
• 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 preferred (or equivalent work experience) 
  Exceptional Master of Science graduates will be given consideration

Experience in performance optimization and building of high-performance data processing applications is a highly desirable

Experience with R and/or Python
Experience in Hadoop, Spark, TensorFlow, and related technologies is a plus 

Experience in developing database applications is 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 

CountryEEOText_Description: Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

City: Santa Clara

State: California

Community / Marketing Title: Data Scientist Algorithmic Development Engineer

Job Category: Engineering

Company Profile:

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

LinkedIn Remote:

Location_formattedLocationLong: Santa Clara, California US