Senior Data Scientist
Full-time
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
Vacancy posted a month ago
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