Senior Data Scientist, West

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. Key Areas of Responsibility (What You’ll Do) Scope and co-develop production-level data science projects with our customers across different industries and use cases Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support Provide strategic input to the customer and account teams that help make our customers successful. Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Lead technical data science projects pre-sales scoping and design appealing proposals Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage) Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality  Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming Run demo booth/tech talk duties at company public events (e.g. Everyday AI) Lead Junior Data Scientist technical interview Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year Experience (What We’re Looking For): Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences Over 5 years of experience with Python and SQL Over 5 years of experience with building ML models and using ML tools (e.g., sklearn) Experience with LLMs Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit) Understanding of underlying data systems such as Cloud architectures and SQL Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field Location: Must be located within the CST, MST, and PST time zones Bonus points for any of the