Role - Principal, Data Scientist
Role type - Individual Contributor
Exp - 15+ yrs
Location - Gurgaon

Key Responsibilities:
Design, develop, and implement
Machine Learning, AI, and Deep Learning models
to solve complex business problems.
Work hands-on across the
end-to-end ML lifecycle
, including data preparation, feature engineering, model development, validation, deployment, and performance monitoring.
Apply machine learning algorithms such as
regression, Random Forest, decision trees, clustering, classification, and other supervised/unsupervised techniques
.
Develop and implement
Neural Network and Deep Learning models
for appropriate business use cases.
Analyze large and complex datasets to identify patterns, trends, and actionable insights.
Translate business requirements into appropriate
ML/AI approaches and solutions
.
Implement ML/AI solutions in an
enterprise environment
, ensuring scalability, reliability, and business impact.
Evaluate model performance using appropriate statistical and ML metrics and continuously optimize models.




Collaborate with business, technology, data engineering, and other stakeholders to deploy AI/ML solutions into production.
Stay current with emerging
AI/ML and Deep Learning techniques
and identify opportunities to apply them to enterprise problems.
Independently drive assigned projects from
problem definition through model development and implementation
.

Required Skills & Experience
Robust hands-on experience in
Data Science, Machine Learning, AI, and Deep Learning
.
Proven experience in
enterprise implementation of ML/AI solutions
; candidates with only academic/research exposure would not be ideal.
Strong understanding and hands-on experience with:
Classification algorithms
Robust understanding of
machine learning algorithms, model selection, feature engineering, model validation, and optimization
.
Experience taking ML models from
development to implementation/production
.
Solid

📌 Senior Data Scientist Gurugram
🏢 Genpact
📍 Gurugram