Senior Data Scientist

Role - Principal, Data Scientist Role type - Individual Contributor Exp - 15+ yrs Location - GurgaonKey Responsibilities:Design, develop, and implementMachine Learning, AI, and Deep Learning modelsto solve complex business problems. Work hands-on across theend-to-end ML lifecycle , including data preparation, feature engineering, model development, validation, deployment, and performance monitoring. Apply machine learning algorithms such asregression, Random Forest, decision trees, clustering, classification, and other supervised/unsupervised techniques .

Develop and implementNeural Network and Deep Learning modelsfor appropriate business use cases. Analyze large and complex datasets to identify patterns, trends, and actionable insights. Translate business requirements into appropriateML/AI approaches and solutions .

Implement ML/AI solutions in anenterprise 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 emergingAI/ML and Deep Learning techniquesand identify opportunities to apply them to enterprise problems. Independently drive assigned projects fromproblem definition through model development and implementation . Required Skills & Experience Strong hands-on experience inData Science, Machine Learning, AI, and Deep Learning .

Proven experience inenterprise 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 ofmachine learning algorithms, model selection, feature engineering, model validation, and optimization . Experience taking ML models fromdevelopment to implementation/production .

Strong analytical and problem-solving skills.