Senior Data Scientist

🕒 June 2

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Apply rigorous analytical thinking and modern AI capabilities to design, build, and scale high-impact solutions • Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators • Build reusable AI components, including retrieval pipelines, structured prompting patterns, orchestration workflows, and evaluation harnesses • Design retrieval strategies that connect LLMs to trusted internal knowledge sources, ensuring grounded and reliable outputs • Develop and maintain statistical and machine learning models to support automation, optimization, forecasting, and classification use cases • Implement evaluation and validation frameworks to measure quality, accuracy, and consistency of AI-driven systems • Partner cross-functionally to identify high-value opportunities for AI enablement across the organization • Create reusable datasets, feature pipelines, and experimentation frameworks to support iterative development • Uphold high standards for quality, reliability, and responsible AI practices • Contribute to peer review processes to ensure technical rigor and maintainability • Document methodologies, assumptions, and implementation details to ensure transparency and reproducibility

🎯 Requirements

• Hands-on experience building applications or workflows powered by large language models (LLMs) • Evidence of a builder mindset through shipped AI tools, internal platforms, or automation solutions • Demonstrated experience applying machine learning techniques in production or enterprise environments • 5+ years of relevant experience in Data Science, Machine Learning, or AI-focused roles • Strong curiosity for emerging AI technologies and the ability to evaluate and adopt them responsibly • Academic background in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field • Experience with vector databases, embedding models, or semantic retrieval systems (preferred) • Experience designing internal AI platforms or shared enablement frameworks (preferred) • Familiarity with API-driven architectures and integrating AI capabilities into enterprise systems (preferred) • Exposure to responsible AI practices, governance frameworks, or model lifecycle management (preferred)

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups