Data Scientist

EXL

About The Position

This role is for a Data Scientist, Band B1 / B2, within the Sierra Engineer team. The position requires 4-6 years of total experience in Conversational AI / agentic or virtual-assistant development, with 1-2 years of hands-on Sierra experience and at least one delivered/production Sierra project. A strong programming background in TypeScript / JavaScript is essential. The core responsibilities involve building and validating agents in Agent Studio, implementing code-defined agent behavior using the Agent SDK, authoring and maintaining simulations, integrating agents with various systems, participating in workspace-based development, and contributing to CI/CD processes.

Requirements

4–6 years total in Conversational AI / agentic or virtual-assistant development (e.g., Dialogflow CX, Amelia, Kore.ai, Rasa, LLM-based agents).
1–2 years hands-on Sierra, with at least one delivered/production Sierra project.
Strong programming background in TypeScript / JavaScript.
Agent Studio: conversational design, customer journeys, and the block-based editor (Journeys, Conditions, Rules, Policies, Tools, Configuration).
Agent SDK: TypeScript/JavaScript with JSX; SDK APIs (hooks, tool registration, lifecycle events); code-defined simulations; workspace/snapshot/release concepts.
Simulations: writing instruction-driven and scenario-based tests; critical-simulation enforcement; stabilising flaky simulations.
Git & CI/CD: branching, merging, code reviews; running simulations and release enforcement in pipelines.
Bachelor's/Master's in Engineering
2-5 years

Nice To Haves

Ghostwriter (AI-assisted authoring): prompting, reviewing, validating, and merging AI-generated journeys/simulations.
Basic observability (traces/alerts) and analytics (CSAT, resolution/containment rate).
Contact-centre / IVR and telephony transfer (Genesys or similar) exposure.

Responsibilities

Build and validate agents in Agent Studio using Journeys, Conditions, Rules, Policies, Tools, and Configuration.
Implement code-defined agent behaviour in the Agent SDK (TypeScript/JSX on Sierra's custom runtime) using hooks, tool registration, and lifecycle events.
Author instruction-driven and scenario-based simulations (Studio and code) and keep them stable and meaningful.
Integrate agents with APIs and enterprise/contact-centre systems, including transfer/routing to queues and numbers with attached data.
Participate in workspace-based development: merge requests, snapshots, and workspace reviews.
Execute releases under guidance, respecting critical-simulation gates and approvals.
Contribute to CI/CD (e.g., GitHub Actions) — running simulations and wiring release checks.
Design and develop data models and analytical solutions.
Optimize data analysis processes and methodologies.
Ensure data solutions meet business and technical requirements.
Provide technical support for data science projects.
Collaborate with stakeholders to address data science needs.