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Dataiku
Senior Data Scientist, West
datafull-timeUnited States, Remote
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role
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,
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