Job Description
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- Role - Principal, Data Scientistn
- Role type - Individual Contributorn
- Exp - 15+ yrsn
- Location - Gurgaonn

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




- Evaluate model performance using appropriate statistical and ML metrics and continuously optimize models.n
- Collaborate with business, technology, data engineering, and other stakeholders to deploy AI/ML solutions into production.n
- Stay current with emerging AI/ML and Deep Learning techniques and identify opportunities to apply them to enterprise problems.n
- Independently drive assigned projects from problem definition through model development and implementation.n

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

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