Senior Data Scientist at Dataiku | SG | Rezi

Senior Data Scientist at Dataiku

Senior Data Scientist

Dataiku · SG

1 weeks ago

Senior Data Scientist

Dataiku · SG

14 days ago
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About the Role

As a Senior Data Scientist at Dataiku, you will embed directly with customers to co-design AI solutions, driving them from initial design workshops to production impact across various industries and use cases. You will act as both a technical authority and a trusted advisor, taking end-to-end accountability for solution design, hands-on delivery, and achieving business outcomes. This role involves shaping customer adoption of the Dataiku platform, training teams, and advising leadership, utilizing Python and SQL daily.

Responsibilities

  • Design and co-develop production-grade AI projects with 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.
  • Make and defend key architecture trade-offs, 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.

Requirements

  • 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.
  • Strong curiosity and appetite for learning new topics, tools, and techniques.
  • Empathy and collaboration skills, with a genuine eagerness to share knowledge.
  • Ability to communicate complex concepts clearly to both technical and non-technical audiences.
  • Demonstrated passion for teaching, mentoring, or public speaking.

Skills

  • Large Language Models (LLMs)
  • Agents
  • Machine Learning
  • Data visualization
  • Dash
  • Streamlit
  • RShiny
  • JavaScript
  • APIs
  • Data Engineering
  • MLOps practices
  • Enterprise data science platforms
  • Cloud architectures
  • Hadoop
  • Kubernetes
  • Python
  • SQL

Location

  • Singapore

Work Type

  • Full-time

Experience Level

  • Senior

About the Company

  • 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.
  • 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.
  • 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.
  • We value innovation, collaboration, and your personal growth.

Equal Opportunity

  • 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.