Senior Marketing Data Scientist
EXL Talent Acquisition Team
Data Scientist
About this role
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
Frequently Asked Questions
Is the salary disclosed for the Data Scientist position at EXL Talent Acquisition Team?
The salary for this Data Scientist role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist position at EXL Talent Acquisition Team located?
This Data Scientist role at EXL Talent Acquisition Team is based in Noida, Uttar Pradesh, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Data Scientist position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Data Scientist job at EXL Talent Acquisition Team posted?
This Data Scientist position at EXL Talent Acquisition Team was posted on Sep 24, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist
EXL Talent Acquisition Team
You'll be redirected to EXL Talent Acquisition Team's official application page on oraclecloud.