Senior Data Scientist

Workato; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Workato in Singapore is seeking an exceptional Senior Data Scientist to design, build, and deploy ML/LLM-powered services that power intelligent automation on the Workato platform. You will collaborate with Engineering, Product, and Design to define metrics and run experiments.

You should have strong ML/LLM intuition, software engineering skills, and a practical mindset for shipping reliable AI systems at scale.

Qualifications

• 3+ years of experience developing and evaluating AI/ML prototypes.
• Experience with tool-use agents or workflow-aware AI systems.
• Experience building AI products in enterprise SaaS environments.
• Experience with A/B testing and statistical significance techniques.
• Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).
• Experience working with modern data warehouses such as Amazon Redshift Snowflake.

Responsibilities

• Build and improve AI services using LLMs and custom machine learning models for production use cases.
• Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.
• Write high-quality Python code that is testable, maintainable, and efficient.
• Improve validation, observability, and performance monitoring for ML services.
• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.
• Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.
• Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights
• Contribute to technical design and code reviews, helping raise engineering quality across the team.
• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Skills

AI/ML prototyping

Tool-use agents

Workflow-aware AI

Enterprise SaaS AI

A/B testing

LLMOps/ML

Data warehouses

Tools

Amazon Redshift

Snowflake

Job description

About Workato

Workato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 - including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

• Business Insider named us an "enterprise startup to bet your career on"
• Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the #1 best company for remote workers

Responsibilities

We are looking for an exceptional Senior Data Scientist to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights. This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems.

• Build and improve AI services using LLMs and custom machine learning models for production use cases.
• Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.
• Write high-quality Python code that is testable, maintainable, and efficient.
• Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).
• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.
• Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.
• Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights
• Contribute to technical design and code reviews, helping raise engineering quality across the team.
• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Requirements

Qualifications / Experience / Technical Skills

• 3+ years of experience developing and evaluating AI/ML prototypes.
• Experience with tool-use agents or workflow-aware AI systems.
• Experience building AI products in enterprise SaaS environments.
• Experience with A/B testing and statistical significance techniques.
• Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).
• Experience working with modern data warehouses such as Amazon Redshift Snowflake.

Job Req ID: 2456