Senior Data Scientist

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
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.