Data scientist (english & french fluent)

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise.

As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries.

You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases.

Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.

Key Areas of Responsibility (What You’ll Do)

* 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.

* Provide strategic input to the customer and account teams that help make our customers successful.

* 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.

Experience (What We’re Looking For)

* French and English - fluent
* Curiosity and a desire to learn new technical skills.

* Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public.

* Ability to clearly explain complex topics to technical as well as 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 points for any of these

* Experience with Consulting and/or Customer-facing Data Science roles.

* Experience in the bank & insurance, or manufacturing industries.

* Experience with Spark, SAS, 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.

#LI-Hybrid

What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page .
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
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