Sr. Data Scientist
Hybrid Gurugram Full-time Senior Data Science
At a glance
Senior Data Science role at Fa Ewjt Saasfaprod1. Gurugram · full-time.
Pay not stated Data Scientist salary
RoleData Science
SenioritySenior
LocationGurugram
WorkplaceHybrid
EmploymentFull-time
PostedAug 21, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Shape analytics engagements with clients by framing problems, setting success measures and updating executives
- Turn business goals into data science plans, then oversee governance, dependencies and change control
- Manage several workstreams from scope through delivery, tracking schedules, budgets and realized benefits
- Build predictive, prescriptive and generative AI models from data exploration through deployment, using structured and unstructured data
- Set ML standards for explainability, fairness, bias checks and monitoring, and oversee production pipelines
What you bring
- Seven to nine years of professional experience
- A professional certification such as CA, CPA, CISA or CIA
Who this fits
This senior role suits someone who can lead client analytics work and guide AI/ML delivery from problem framing to production. The role is based in Gurugram, India, with a hybrid arrangement.
From the employer
Core Responsibilities
Client & Program Leadership
- Serve as primary client partner for analytics engagements, shaping problem statements, defining success criteria, and managing executive updates.
- Translate business goals into data science roadmaps and measurable outcomes.
- Establish and run program governance (steering committees, RAID logs, change control, dependency management).
Delivery & Value Realization
- Own scope, plan, and delivery across multiple workstreams; track timelines, budgets, and outcomes; ensure on‑time, on‑budget delivery.
- Define value baselines and benefit tracking .
- Lead end-to-end development of AI/ML models including problem formulation, data exploration, feature engineering, model training, validation, and deployment.
- Design and implement predictive, prescriptive, and generative AI solutions using structured and unstructured data.
- Drive adoption of ML best practices, including model explainability, fairness, bias detection, and performance monitoring.
Data Science & MLOps Leadership
- Lead end-to-end development of AI/ML models including problem formulation, data exploration, feature engineering, model training, validation, and deployment.
- Design and implement predictive, prescriptive, and generative AI solutions using structured and unstructured data.
- Drive adoption of ML best practices, including model explainability, fairness, bias detection, and performance monitoring.
- Architect and oversee production-grade ML pipelines using MLOps principles.
Professional certification such as CA, CPA, CISA or CIA. 7-9 years of experience.
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