
Data Science Engineer
3 weeks ago
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 will do:Our team combines data science and analytical engineering. In this role, you'll collaborate closely with the analytics engineer. You will work on in-database analytics functions, ensuring high accuracy, efficient workload management, and supporting proof-of-concept (POC) use cases. 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 AI-driven applications such as retrieval-augmented generation (RAG), recommendation systems, and multimodal solutions across diverse enterprise use cases.
Who you will work with:We are a market leader and innovator in cloud analytics and data platforms for AI, managing structured, unstructured, and semi-structured data. Our team delivers analytic insights through products like the massively parallel, linearly scalable Teradata Database and high-performance in-database analytics. Our Gen AI product, Vector Store, supports 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:- Bachelor's or Master's degree in Statistics, Data Science, Computer Science, or a related field, or equivalent practical experience.
- Experience programming in Python, SQL, or related languages.
- At least 2 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding in Python, R, SQL, etc.
- Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related fields, with a focus on GenAI, RAG, vector databases, and AI Agents.
- Experience in information retrieval, text summarization, NLP, RAG, and Large Language Models (LLMs).
- Experience with training, evaluating, or interpreting large language models or multimodal models.
We prioritize a people-first culture, embracing flexible work models and focusing on well-being. We are committed to Diversity, Equity, and Inclusion, fostering an equitable environment that celebrates all identities and backgrounds. We are an equal opportunity and affirmative action employer, ensuring a non-discriminatory workplace.
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