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.
In this role, you will:
Design and co-develop production-grade data science projects with our customers across a wide range of industries and use cases
Enable users to discover and master the Dataiku platform through training sessions, office hours, workshops, and ongoing consultative support
Provide strategic guidance to customers and account teams to help drive adoption, value realization, and long-term success
Contribute to shaping solutions and building compelling proposals
Help drive efficient customer engagements by coordinating sprints, prioritizing tasks, and estimating delivery effort
You might be a great fit for this role if you have:
8 years of experience in Advanced Analytics & AI, ideally in a consulting or customer-facing data science role
5 years of hands-on experience with Python and SQL
5 years of experience designing, building, and deploying production-grade AI & ML models
A strong curiosity and appetite for learning new topics, tools, and techniques
Empathy and collaboration skills, with a genuine eagerness to share your knowledge with colleagues, Dataiku customers, and the wider community
The ability to communicate complex concepts clearly to both technical and non-technical audiences
Technical skills that will help you succeed in this role:
Experience using Large Language Models (LLMs) to build innovative, real-world applications
Experience with data visualization, including building applications using frameworks such as Dash, Streamlit, RShiny or Javascript
Experience consuming and/or building APIs
Experience with Data Engineering and/or MLOps practices
Familiarity with enterprise data science platforms and tools
Understanding of cloud architectures, or systems such as Hadoop or Kubernetes
A demonstrated passion for teaching, mentoring, or public speaking
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