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 setting, 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
Strong 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
Strong understanding of machine learning algorithms, model selection, feature engineering, model validation, and optimization.
Experience taking ML models from development to implementation/production.
Strong analytical and problem-solving skills.

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