Tokyo myGwork - LGBTQ+ Business Community ¥5,000,000 - ¥15,000,000 per year

This job is with Dataiku, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.


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.

The role of a Sr Data Scientist at Dataiku is quite unique.

Our Data Scientists not only code up 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, some 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 every day.

Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.).

An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

Key Areas of Responsibility (What You'll Do)

Scope and co-develop production-level data science projects with our customers across different industries and use cases
Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
Provide strategic input to the customer and account teams that help make our customers successful.
Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams
Lead technical data science projects pre-sales scoping and design appealing proposals
Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage)
Develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality

Lead Data Scientist engagements:
You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming
Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
Contribute to internal assets (internal best practice or external blog post/project on the public gallery)

Experience (What We're Looking For)

Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public
The ability to clearly explain complex topics to technical as well as non-technical audiences
8 years + of experience in advanced analytics, data science projects, or consulting
Over 5 years of experience with Python and SQL
Over 5 years of experience with building ML models and using ML tools (e.g. sklearn)
Experience with LLM
Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit)
Understanding of underlying data systems such as Cloud architectures and SQL
Highly proficient in spoken and written Japanese and English
Travel to client site

Bonus Points For Any Of These

Experience using Dataiku DSS
Experience with Consulting and/or Customer-facing Data Science roles
Experience with Data Engineering or MLOps
Experience developing WebApps in Javascript
Experience building APIs
Passion for teaching or public speaking


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- Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process.

Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process.

If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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