Senior Data Scientist New Singapore

Dataiku Inc.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Dataiku is seeking a Senior Data Scientist to embed with customers, co-design AI solutions, and drive production impact. You’ll work across industries, acting as technical authority and trusted advisor inside every account you touch.

You will join end-to-end AI initiatives, from data integration and modeling to deployment, while mentoring customers through workshops and ongoing consultative support.

Qualifications

• 8 years of experience in Advanced Analytics & AI, ideally in a consulting or customer-facing data science role.
• 5 years of hands-on experience with Python and SQL.
• 5 years of experience designing, building, and deploying production-grade AI & ML models.
• Experience owning technical outcomes directly with customers.
• Curiosity and appetite for learning new topics, tools, and techniques.
• Empathy and collaboration skills, with the ability to share knowledge openly.
• Ability to explain complex concepts to both technical and non-technical audiences.

Responsibilities

• Design and co-develop production-grade AI projects across industries and use cases.
• Enable users to master the Dataiku platform through training sessions and workshops.
• Embed with client data and teams, from data integration to production deployment.
• Make architectural trade-offs balancing constraints, platform capabilities, and timelines.
• Provide strategic guidance to customers and account teams to drive adoption and value realization.
• Contribute to shaping solutions and proposals, including technical scoping and effort estimation.
• Help drive efficient customer engagements by coordinating sprints and estimating delivery effort.

Skills

Advanced Analytics & AI

Python

SQL

Production-grade AI/ML models

Customer-facing delivery

Communication

Collaboration

Tools

APIs

Data Engineering

MLOps

Job description

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube .

At Dataiku, the Senior Data Scientist role is unlike a typical data science seat. You won't just build models - you'll embed directly with our customers, co-design AI solutions with them, and see your work through initial solution design workshops to production impact. You'll work across a portfolio of industries and use cases, acting as both the technical authority and the trusted advisor inside every account you touch.

In this role, you will:

• Design and co-develop production-grade AI projects with our customers across a wide range of industries and use cases
• Enable users to discover and master the Dataiku platform through training sessions, office hours, workshops, and ongoing consultative support
• Embed directly with client data, business and engineering teams, contributing to end-to-end solution architecture - from data integration and pipeline design through to production deployment
• Make and defend key architecture trade-offs (native platform functions vs. custom code, batch vs. real-time), balancing client constraints, platform capabilities, and delivery timelines
• Provide strategic guidance to customers and account teams to help drive adoption, value realization, and long-term success
• Contribute to shaping solutions and building compelling proposals, including technical scoping and effort estimation
• Help drive efficient customer engagements by coordinating sprints, prioritizing tasks, and estimating delivery effort

You might be a great fit for this role if you have:

• 8 years of experience in Advanced Analytics & AI, ideally in a consulting or customer-facing data science/AI solution engineering role
• 5 years of hands‑on experience with Python and SQL
• 5 years of experience designing, building, and deploying production-grade AI & ML models
• A track record of owning technical outcomes directly with customers - whether through consulting, professional services, or embedded delivery models
• A strong curiosity and appetite for learning new topics, tools, and techniques
• Empathy and collaboration skills, with a genuine eagerness to share your knowledge with colleagues, customers, and the wider community
• The ability to communicate complex concepts clearly to both technical and non-technical audiences

Technical skills that will help you succeed in this role:

• Experience using Large Language Models (LLMs), Agents and Machine Learning to build innovative, real-world applications
• Experience consuming and/or building APIs
• Experience with Data Engineering and MLOps practices
• Familiarity with enterprise data science platforms and tools
• Understanding of cloud architectures, as well as systems such as Hadoop or Kubernetes
• A demonstrated passion for teaching, mentoring, 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 [e-mail]