Senior Data Scientist - Workato

Responsibilities

We are looking for an exceptional Middle / Senior Machine Learning Engineer / 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.

In this role, y ou will also be responsible to:

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

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience

3+ years of experience in Machine Learning Engineering, Data Science , or a similar role.

Strong Python programming skills.

Hands-on experience with NLP and/or LLM-based systems .

Strong understanding of software engineering fundamentals (testing, code quality, debugging, version control).

Ability to work collaboratively in a fast-moving environment and drive projects with ownership.

Nice to Haves

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.