At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. 

 

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,300 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI. 

The role of a Data Scientist at Dataiku is unique. Our Data Scientists not only develop 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, providing 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 daily. Aside from the visual tools, our team uses mostly Python, with occasional work in other languages (e.g., R, SQL, Pyspark, JavaScript, etc.). An ideal candidate is excited to teach data science and how to use the Dataiku platform to customers, and learn about new technologies.

How you'll make an impact #LI-Onsite

  • Help users discover and master the Dataiku platform, via user training, office hours, demos, and ongoing consultative support.
  • Analyze 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.

What you'll need to be successful

  • 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 3 years of experience with coding (Python, R, SQL).
  • Over 3 years of experience building ML models.  
  • Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.

What will make you stand out

  • 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.
  • Passion for teaching or public speaking.

Benefits

  • Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini. 
  • A wide diversity of projects.
  • Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence.
  • Exposure to the latest, open-source technologies that Dataiku integrates. See our release notes for our latest developments: https://doc.dataiku.com/dss/latest/release_notes/index.html 
  • Opportunity to work with a smart, passionate, and driven team in hypergrowth mode.
  • Dataiku has a strong culture based on key values: Transparency, Ambition, Excellence, Humility, and Empathy.#LI-Onsite
 
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: reasonable-accommodations@dataiku.com

Apply for this Job

* Required
resume chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel
cover_letter chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel
Demographic Questionnaire (Non USA locations)

We invite you to complete this optional survey to help us evaluate our diversity and inclusion efforts. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment or affect your job application. Information obtained will be kept separate from your name or job application. This information will be kept secure and confidential and will be used solely to evaluate our diversity and inclusion efforts.

Gender (Select one) *




Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.
Please complete the reCAPTCHA above.