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Salary: USD 210,000 - 220,000 / annual
Dataiku is the Platform for AI Success, an enterprise orchestration layer for building, deploying, and governing AI. The company enables teams to design and operate analytics, machine learning, and AI agents with transparency, collaboration, and control across multi-vendor environments.
As a Senior Data Scientist, you will play a unique role that bridges technical expertise with customer success. You will develop solutions to real-world problems and participate in client-facing endeavors throughout the customer journey, including platform discovery, integration with other tools and technologies, user training, and co-developing data science projects from design to deployment.
Key responsibilities include:
- Help users discover and master the Dataiku platform via training, office hours, demos, and consultative support
- Analyze and investigate various data and machine learning applications across industries and use cases
- Provide strategic input to customer and account teams to drive success
- Scope and co-develop production-level data science projects with customers
- Mentor and educate data scientists and other customer team members
You will work primarily with Python, with occasional work in R, SQL, PySpark, and JavaScript. The role requires both strong technical skills and excellent communication abilities to explain complex topics to technical and non-technical audiences alike.
REQUIREMENTS:
- Over 5 years of experience with coding (Python, R, SQL)
- Over 5 years of experience building ML models
- Understanding of underlying data systems and platform mechanics (Cloud architectures, Kubernetes, Spark, SQL)
- Curiosity and desire to learn new technical skills
- Empathy and eagerness to share knowledge with colleagues and customers
- Ability to clearly explain complex topics to diverse audiences
DESIRABLE QUALIFICATIONS:
- Experience with consulting and/or customer-facing data science roles
- Experience with data engineering or MLOps
- Experience developing web apps in JavaScript, RShiny, or Dash
- Experience building APIs
- Experience using enterprise data science tools
- Passion for teaching or public speaking
