Senior Data Scientist

About the Role

The role requires a deep understanding of statistical foundations, advanced programming expertise, and modern Generative AI techniques to build scalable, production-ready solutions. You will combine strong statistical foundations, advanced programming expertise, and modern Generative AI techniques to build scalable, production-ready solutions. This is a builder-focused role, where you will move beyond analysis to develop reusable components that enable scalable AI adoption.

Cloudera's commitment to data-driven initiatives and its mission to harness the power of data make this role particularly exciting. The company empowers organizations to transform complex data into clear and actionable outcomes, and as a Senior Data Scientist, you will play a critical role in driving this mission forward.

What You Will Do

• Design and deliver AI-powered systems and applications that accelerate decision-making and enhance operational excellence
• Develop internal copilots, AI-enabled workflows, and reusable platform components that embed intelligence directly into business processes
• Combine strong statistical foundations, advanced programming expertise, and modern Generative AI techniques to build scalable, production-ready solutions
• Work closely with cross-functional teams to develop and implement AI-enabled solutions
• Develop and maintain large-scale data pipelines and architectures
• Collaborate with data engineers to design and implement data storage solutions
• Work with stakeholders to identify business problems and develop AI-enabled solutions
• Design and implement experiments to test the effectiveness of AI-enabled solutions
• Develop and maintain technical documentation of AI-enabled solutions

What We Are Looking For

• Proficiency in Python (or R) for data preparation, feature engineering, statistical modeling, and machine learning
• Experience with core data science libraries (e.g., Pandas, NumPy, scikit-learn) and a solid understanding of supervised and unsupervised learning methods
• Strong understanding of relational databases and the ability to quickly learn new schemas and data environments
• Comfortable writing efficient, production-grade SQL to support modeling, experimentation, and AI-enabled applications
• Hands-on experience working with large language models (LLMs) and modern AI tooling
• Ability to translate GenAI capabilities into reliable, enterprise-ready solutions that integrate with existing systems and data sources
• Experience with modern development frameworks (e.g., Streamlit, Gradio, FastAPI, or similar)
• Demonstrated ability to design reusable components such as shared prompt libraries, retrieval pipelines, evaluation frameworks, and standardized integration patterns

Nice to Have

• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure)
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)
• Experience with Agile development methodologies and version control systems (e.g., Git)
• Familiarity with data visualization tools (e.g., Tableau, Power BI)

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a talented team of data scientists and engineers
• Collaborative and dynamic work environment
• Flexible working hours and remote work options
• Professional development opportunities and training programs
• Access to cutting-edge technology and tools
• Recognition and reward programs for outstanding performance
• Comprehensive health and wellness programs
• Paid time off and vacation days
• Stock options and equity participation
• Remote work stipend and home office setup support

• Tip: Develop a strong portfolio of data science projects that demonstrate your expertise in machine learning, SQL, and data visualization.
• Tip: Highlight your experience with core data science libraries such as Pandas, NumPy, and scikit-learn, and be prepared to discuss your approach to data preprocessing, feature engineering, and model evaluation.
• Tip: Familiarize yourself with modern development frameworks such as Streamlit, Gradio, and FastAPI, and be prepared to discuss your experience with containerization and orchestration.
• Tip: Emphasize your ability to communicate complex technical concepts to non-technical stakeholders, and be prepared to provide examples of your experience with data storytelling and presentation.
• Tip: Research Cloudera's mission and values, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
• Tip: Be prepared to discuss your experience with Agile development methodologies and version control systems, and highlight your ability to work collaboratively with cross-functional teams.
• Tip: Develop a strong understanding of the current market landscape and the role's requirements, and be prepared to discuss your approach to staying up-to-date with industry trends and developments.