Data Scientist Algorithmic Development Engineer

Location: Mexico City, Mexico MX

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Requisition Number: 212659

External Description:

Data Scientist Algorithmic Development Engineer 

 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 Engineeering 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 platform, Quality Engineering, and other engineering teams for end to enddesign and implementation of the analytic functions.
  • Work with the QEteam 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 
  • Investigatealternative 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 databasesand SQL  
  • Ability to prioritize and work on multiple projects 
  • Experiencewith 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/engineeringpreferred (or equivalent work experience)  
    Exceptional Master of Science graduates will be given consideration 
  • Experience in performance optimization, and building of high performancedata processing applications is a highly desirable 
  • Experience with Rand/or Python 
    Experience in Hadoop, Spark, TensorFlow, and related technologies a plus  
  • Experience in developing database applications a plus 

 

CountryEEOText_Description:

City: Mexico City

State: Mexico

Community / Marketing Title: Data Scientist Algorithmic Development Engineer

Job Category: Engineering

Company Profile:

Our Company

Teradata (NYSE: TDC) is the leading multi-cloud data platform company for enterprise analytics, transforming how businesses work and people live through the power of data.

At Teradata, we are leading the data era. As enterprises address today’s digital economy, they are faced with new competition and consumer expectations and are turning to data to power their future. Teradata has worked with the largest companies in the world for 40+ years, bringing our experience and expertise to support global enterprises with their most demanding, mission-critical, complex, and large-scale data needs.  Teradata is recognized as a leader in the cloud, data, and analytics spaces by top analyst firms, Gartner and Forrester, and Fortune Magazine as well. 

Our connected multi-cloud data platform for enterprise analytics, Teradata Vantage™, is an extremely scalable, secure, and resilient offering that simplifies ecosystems by connecting data and making it easier to uncover insights from across the organization…regardless of where that data resides. With Vantage, we enable companies to modernize their data management, from start to scale. Every day, millions of users benefit from our open data platform. Empowering customers and partners to develop and build how they like, we enable hundreds of business outcomes and solutions, including improving customer experience and profitability, driving operational efficiency, realizing financial transformation, or achieving operational efficiency.

 As the world of data grows, we are the leader in enabling the future of connected businesses, powered by data intelligence. We are committed to delivering on this vision by following sustainable business practices and with a strong focus on diversity, equity, and inclusion. We believe that only by embracing diversity of identity, thought, background, expression, and perspective can we solve today’s challenges and reimagine tomorrow’s world.

Location_formattedLocationLong: Mexico City, Mexico MX

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