Data Scientist

• Scope and co-develop production-level data science projects with customers across industries and use cases
• Help users discover and master our platform through user training, office hours, and ongoing consultative support
• Provide strategic input to customers and account teams to help customers succeed
• Provide data science expertise to customers and our sales and marketing teams
• Develop custom Python-based plugins with our Solutions, R&D, and Product teams to enhance our platforms functionality

Technologies:

• AI
• AI Agents
• Cloud
• Hadoop
• Support
• JavaScript
• Machine Learning
• Marketing
• MLOps
• Python
• PySpark
• SQL
• Web

More:

We are Dataiku, the Platform for AI Success: an enterprise orchestration layer for building, deploying, and governing AI. Our environment enables teams to design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. We connect the enterprise AI stack across data platforms, cloud infrastructure, and AI services, helping organizations run AI across multi-vendor environments with centralized governance. Leading companies rely on us to operationalize AI and deliver measurable business value. Our Data Scientists code solutions to real-world problems and work directly with customers throughout their journey, including platform discovery, integrations, training, and project development from design to deployment. We use our platform daily, primarily with Python and SQL, and sometimes with R, PySpark, and JavaScript. We value innovation, collaboration, personal growth, and treating everyone with dignity, decency, and fairness. We are an equal opportunity employer.

• Curiosity and a desire to learn new topics and skills
• Empathy for others and eagerness to share knowledge and expertise with colleagues, customers, and the general public
• Ability to explain complex topics clearly to technical and non-technical audiences
• More than 2 years of experience with Python and SQL
• More than 2 years of experience building machine learning models and using machine learning tools such as scikit-learn
• Familiarity with data visualization in Python and R
• Understanding of underlying data systems, such as cloud architectures, Hadoop, or SQL
• Bonus: Experience in consulting or customer-facing data science roles
• Bonus: Experience with data engineering or MLOps
• Bonus: Experience developing web apps in JavaScript, R Shiny, or Dash
• Bonus: Experience building APIs
• Bonus: Experience using enterprise data science tools
• Bonus: Passion for teaching or public speaking