About this role
Dataiku builds an enterprise orchestration platform designed to help organizations develop, deploy, and govern artificial intelligence, machine learning, and analytics within a single environment. Data Scientists at Dataiku operate at the intersection of technical delivery and client engagement, tackling real-world problems while guiding customers through their adoption journeys. Daily responsibilities involve utilizing the Dataiku platform alongside Python, R, SQL, PySpark, and JavaScript to analyze data, build machine learning models, and co-develop production-grade applications with enterprise clients.
This position exists to bridge the gap between complex enterprise AI stacks and the business users relying on them for operational success. Successful candidates combine strong technical foundations in coding and machine learning with exceptional interpersonal abilities, allowing them to communicate technical concepts clearly to diverse audiences. Professionals who thrive in this environment typically possess a strong desire to educate others, mentor team members, and consult directly with clients on strategic data initiatives.
What you will do
- Help users discover and master the Dataiku platform via user training, office hours, demos, and ongoing consultative support.
- Analyse and investigate various data and machine learning applications across industries and use cases.
- Provide strategic input to the customer and account teams to help our customers succeed.
- Scope and co-develop production-level data science projects with our customers.
- Mentor and help educate data scientists and other customer team members to aid in career development and growth.
What you need
- Native-level proficiency in German and fluent or native-level proficiency in English are required.
- Candidates must demonstrate curiosity and a desire to learn new technical skills.
- Empathy and an eagerness to share knowledge with colleagues, customers, and the general public are essential.
- Applicants must possess the ability to clearly explain complex topics to technical as well as non-technical audiences.
- More than 5 years of experience with coding languages such as Python, R, and SQL is necessary.
- More than 5 years of experience building machine learning models is required.
- Candidates must understand underlying data systems and platform mechanics, including Cloud architectures, Kubernetes, Spark, and SQL.
Nice to have
- Experience with Consulting and/or Customer-facing Data Science roles
- Experience with Data Engineering or MLOps
- Experience developing WebApps in JavaScript, RShiny, or Dash
- Experience building APIs
- Experience using enterprise data science tools
Skills and tech stack
Questions candidates ask
What is the work location policy for this role?
The position is based in Germany with remote work arrangements. Candidates operate remotely while engaging with clients and internal teams.
What programming languages and technical tools are used daily?
The team works on the Dataiku platform daily using Python primarily, along with occasional work in R, SQL, PySpark, and JavaScript. Understanding of underlying data systems like Cloud architectures, K8S, Spark, and SQL is also required.
What does the day-to-day client interaction involve?
Data Scientists participate in client-facing endeavours throughout the customer journey, including platform discovery, integration support, user training, and co-developing data science projects from design to deployment. They also provide strategic input to customer and account teams.