Participate in customers' journeys: support discovery of the platform, coach users, and co-develop data science applications from design to deployment
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support
Analyse and investigate various kinds of data and machine learning applications across industries and use cases (mainly financial services and insurance)
Provide strategic input to customer and account teams to help make customers successful
Scope and co-develop production-level data science projects with customers
Mentor and educate data scientists and other customer team members to aid career development and growth
Perform hands-on coding in multiple languages (mostly Python, occasionally R, SQL, PySpark, JavaScript) and apply big data technologies
Requirements
French and English - fluent
Curiosity and a desire to learn new technical skills
Empathy and an eagerness to share your knowledge with colleagues, customers, and the public
Ability to clearly explain complex topics to technical and non-technical audiences
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 such as Cloud architectures, K8S, Spark, and SQL
Bonus: Experience with Consulting and/or Customer-facing Data Science roles
Bonus: Experience in the bank & insurance, or manufacturing industries
Bonus: Experience with Spark, SAS, Data Engineering or MLOps
Bonus: Experience developing web apps in JavaScript, RShiny, or Dash
Bonus: Experience building APIs
Bonus: Experience using enterprise data science tools
Bonus: Passion for teaching or public speaking
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonRSQLPySparkJavaScriptmachine learningdata sciencebig data technologiesdata engineeringMLOps