[Hiring] Senior Data Scientist @Cloudera

Role Description

At Cloudera, we empower people to transform complex data into clear and actionable insights. We are seeking a talented and curious Senior Data Scientist to join our fast-paced, data-driven organization. In this role, you will:

• Design and deliver AI-powered systems and applications that accelerate decision-making and enhance operational excellence.
• Combine strong statistical foundations, advanced programming expertise, and modern Generative AI techniques to build scalable, production-ready solutions.
• Move beyond analysis to develop internal copilots, AI-enabled workflows, and reusable platform components that embed intelligence directly into business processes.
• Empower leadership and operational teams by creating measurable, AI-enabled capabilities.
• Demonstrate technical depth, intellectual curiosity, and a strong builder mindset.

Qualifications

• Generative AI & LLM Engineering: Hands-on experience with large language models (LLMs) and modern AI tooling.
• AI Application Development Experience: Rapidly prototyping and iterating on internal applications, copilots, or AI-enabled workflow tools.
• Platform-Oriented Thinking: Ability to design reusable components for scalable AI adoption.
• Data Science & Machine Learning Expertise: Proficiency in Python (or R) for data preparation and machine learning.
• Strong Mathematical and Statistical Foundation: Deep understanding of probability, statistical inference, and quantitative reasoning.
• SQL & Data Fluency: Strong understanding of relational databases and ability to write efficient SQL.
• Exceptional Communication Skills: Ability to translate complex business challenges into technical solutions.
• Collaborative Development Experience: Experience working in collaborative environments.
• GitHub Proficiency: Experience using version control for collaboration and maintainability.

Requirements

• 5+ years of relevant experience in Data Science, Machine Learning, or AI-focused roles.
• 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.
• Academic background in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or Economics.

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