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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.

What You'll Do

Our team is a blend of data science and analytical engineering, and in this role, you'll collaborate closely with the analytics engineer. As a data scientist, you will work on in-database analytics functions, ensuring high accuracy, efficient workload management, and supporting proof-of-concept (POC) use cases. Meanwhile, you will leverage cutting-edge AI technologies to create solutions and develop scalable models that integrate into Teradata’s analytics platform. This position will play a key role in shaping the future of AI-driven applications, such as retrieval-augmented generation (RAG), recommendation systems, and multimodal solutions across diverse enterprise use cases.

Who You'll Work With

We are a market leader and innovator in cloud analytics and data platforms for AI, specializing in the management of structured, unstructured, and semi-structured data. Our team delivers analytic insights to enterprises through powerful products such as the massively parallel, linearly scalable Teradata Database and best-in-class, high-performance in-database analytics. Our Gen AI product, Vector Store, serves as the backbone for applications like RAG and recommendation systems. This role reports directly to the manager of the ClearScape Analytics team, the core AI product group.

What Makes You a Qualified Candidate

• Master's degree in Statistics, Data Science, Computer Science, a related field, or equivalent practical experience.

• Experience programming in Python, SQL, or related languages.

• 2 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

What You'll Bring

• PhD or Master’s in Computer Science, Data Science, Machine Learning, or a related field, with focus on GenAI, RAG, vector database, and AI Agents.

• Experience in information retrieval or Text summarization, Experience in NLP (Natural Language Processing), RAG and Large Language Model (LLM)

• Experience with training, evaluating, or interpreting large language models or multimodal models.

Pay Rate: $108,600.00 - $135,700.00 - $163,000.00 Annually

Why we think you will love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

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.

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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.

Pay Rate: 121900.0000 - 152300.0000 - 182800.0000 Annually

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Learn more about Teradata’s competitive Total Rewards package at https://www.teradata.com/About-Us/Careers/Benefits