Senior Data Scientist — AI Solutions Architect (Singapore)

DATAIKU PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Dataiku is seeking a Senior Data Scientist in Singapore who will embed with customers, co-design AI solutions, and drive production impact from initial workshops to deployment.

You will own end-to-end solution design, mentor teams, and help customers adopt the Dataiku platform, using Python and SQL with occasional R, PySpark, or JavaScript. Strong communication and leadership will be essential as you guide sprints and client engagements.

Qualifications

• 8 years of experience in Advanced Analytics & AI.
• 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, learning appetite and collaboration.

Responsibilities

• Design and co-develop production-grade AI projects with our customers across industries.
• Enable users to discover and master the Dataiku platform through training and workshops.
• Embed with client data, business and engineering teams for end-to-end solution architecture.
• Make and defend architecture trade-offs balancing client constraints and timelines.
• Provide strategic guidance to customers and account teams to drive adoption and value.
• Contribute to shaping solutions and building proposals with technical scoping and effort estimation.
• Drive efficient engagements by coordinating sprints and estimating delivery effort.

Skills

Python

SQL

Advanced Analytics

AI

Client facing

Consulting experience

MLOps

Cloud architectures

Tools

Dash

Streamlit

RShiny

JavaScript

APIs

Job description

Dataiku is seeking a Senior Data Scientist in Singapore who will embed with customers, co-design AI solutions, and drive production impact from initial workshops to deployment.

You will own end-to-end solution design, mentor teams, and help customers adopt the Dataiku platform, using Python and SQL with occasional R, PySpark, or JavaScript. Strong communication and leadership will be essential as you guide sprints and client engagements.