Dataiku Interview Guide
Everything we know about interviewing at Dataiku: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
Interviewing at Dataiku
What the process looks like, and what Dataiku is really testing for.
Dataiku’s interview loop is built around structured evaluation of how you think and communicate while tackling real work. Across roles, you see repeated emphasis on stakeholder management, communication skills, executive communication, and problem solving, plus hands-on technical assessments that go beyond just theory.
The question topics indicate they test technical problem solving with a strong baseline of Python and technical questions, while also checking project management fundamentals, time management, and practical role clarity. In addition, they cover communication and collaboration, including executive communication and feedback mechanisms, and they assess scalability less prominently than core technical and communication topics.
The loop commonly includes a recruiter screen, a hiring manager interview, and a final interview that may involve senior leadership. Several roles include take-home work or a case study presentation, and the end-to-end process is often described as time-consuming, with multiple reports citing around three weeks. Offer rate in candidate reports is 8.7%, so expect multiple filters and plan to invest time only after you understand the next stage.
Expect the evaluations to be practical and communication-heavy, not just “correct answers.” The topic mix heavily weights project management and stakeholder management, and multiple reports describe scenarios and roleplay where you scope, drive discussion, and explain your reasoning under time pressure.
The Dataiku interview process
5 stages, based on 357 candidate reports.
Recruiter Screen
VariesYou start with an initial conversation focused on background and interest in the role, plus cultural fit. In some cases, the screen explicitly aligns on timelines and interest in the AI or ML space, and it checks fit before moving to deeper evaluation.
Hiring Manager Interview
VariesYou meet the hiring manager for a deep dive into your past experiences and your operational or leadership approach. Reports commonly emphasize project management history, stakeholder management, and how you communicate in practical contexts.
Case, Roleplay, and/or Practical Assessment
VariesYou may complete a take-home assessment, a take-home assignment, or a case study presentation, or you may do an interactive roleplay scenario with structured stakeholder simulation. Candidate reports highlight work that tests scoping, end-to-end reasoning, and communication clarity, including under time pressure and with on-the-spot components.
Final Interview (Senior Leadership Possible)
VariesYou may have a concluding interview for cultural fit and collaboration, sometimes involving senior leadership such as a VP. Some processes include a final interview to finalize evaluations and discuss remaining questions.
Offer Discussion
VariesIf you pass all stages, there is an offer discussion that covers compensation elements, including salary. Candidate reports also indicate some applicants do not receive clear closure after later-stage work, so if you reach the final stages, clarify timelines and next steps.
What Dataiku evaluates
How often each skill shows up across reported interview loops.
Interview guides by role
Each guide has the questions Dataiku interviewers actually ask, the loop structure, and total compensation by level.
What Dataiku pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
Insider tips
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Real interview experiences by role
Read what candidates said about interviewing at Dataiku: the loop, difficulty, and outcomes, straight from recent reports for each role.
Dataiku interview FAQ
Answered from real candidate and workplace data, marked up for rich results.
What people say about Dataiku
Verbatim snippets pulled from employee and candidate reviews.
Enhance corporate communications and strengthen mid-level sales management to improve clarity and morale.
Exciting corporate direction, but the noticeable cultural shift and recent layoffs raise concerns.
The company offers a great product, talented people, and excellent benefits.
The recent shift in company culture has diminished transparency and made it feel less like a startup.
While the product impresses clients with its depth and impact, the sales culture suffers from a lack of support and guidance, leaving account executives to navigate challenges without assistance from leadership.
The company offers a unique and highly regarded product, validated by Gartner as a leader in its field, and boasts a strong network of partners including Snowflake, Nvidia, and Databricks, ensuring collaborative success in sales initiatives.
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