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About Teradata
With 7,000 employees in 40+ countries, 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.
Our Internship Program
Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day. 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. This is what sets apart the dynamic, diverse, and collaborative environment that is Teradata.
Our Team
We are a market leader and innovator in advanced analytics and in the management of a variety of structured, unstructured, and semi-structured data. We help bring analytic insights to enterprises via powerful products such as the massively-parallel, linearly-scalable Teradata Database and best-in-class high performant, scalable in-database analytics.
Your Opportunity
The Advanced Analytics group at Teradata has an opening for a Data Science Software Engineer Intern. If you are passionate about creating applications that facilitate the use of advanced analytics and have a strong interest in working on a project that will lead to a real product, you would be interested in this internship.
In this job, you are expected to help develop an application around exploratory data analysis and feature engineering using our Vantage Analytics Platform and ecosystem components. You will work closely with members of the Data Science and Analytics Engineering team and Product Management to contribute to the creation of a SQL generator that integrates SQL elements, and data elements for automated Feature Engineering.
Your Experience, skills, and knowledge requirements
Basic Qualifications/Requirements
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