Data Scientist
At a glance
Mid-level Data Science role at Fa Ewjt Saasfaprod1. Noida · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and check agents in Agent Studio using journeys, rules, policies, tools and configuration
- Implement agent behavior in Sierra’s TypeScript/JSX SDK, including hooks, tool registration and lifecycle events
- Create instruction-based and scenario tests, then stabilize unreliable simulations
- Connect agents to APIs and enterprise or contact-center systems, including queue and phone transfers with attached data
- Run releases with required approvals and simulation gates, and support CI/CD checks that execute simulations
What you bring
- Four to six years developing conversational AI, agentic systems or virtual assistants
- At least one year of hands-on Sierra work and a delivered project in production
- Strong TypeScript or JavaScript programming skills, including JSX and Sierra SDK APIs
- A bachelor’s or master’s degree in engineering
Who this fits
This role suits a mid-level engineer focused on building and releasing conversational agents, rather than a general data science role. It is based in Noida and follows a hybrid arrangement.
From the employer
Band B1 / B2 — Sierra Engineer
Experience
- 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.
Core 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.
Mandatory Skills (per Sierra platform)
- 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.
Good to Have
- 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.
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.
Bachelor's/Master's in Engineering 2-5 years
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Data Science
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