Data Scientist -Machine Learning

Key Responsibilities:

• Technical Delivery Modeling
• Lead end to end data science and machine learning project execution from discovery to deployment ready deliverables
• Design develop and evaluate ML models aligned to business objectives ensuring robust performance and generalization
• Perform data exploration feature engineering and model selection to improve predictive accuracy and reliability
• Establish model validation approaches track metrics and document assumptions limitations and outcomes
• Consulting Stakeholder Management
• Partner with stakeholders to translate business problems into analytical frameworks and measurable success criteria
• Communicate insights and model results clearly to technical and non technical audiences enabling decision making
• Drive solution recommendations with a focus on feasibility scalability and business impact
• Leadership Quality
• 
  Provide technical guidance and mentorship to team members promoting strong engineering and modeling practices
• Review code experiments and outputs to ensure quality reproducibility and maintainability
• Contribute to reusable assets templates and best practices for consistent delivery across initiatives
• Minimum Qualifications
• UG education in Computers BTECH BSC BCA Computers must be included in UG
• 5 8 years of experience in Data Science Machine Learning and AI ML solution delivery
• Strong hands on experience with Python for data science workflows and model development
• Proven ability to build evaluate and improve ML models using sound statistical and analytical techniques
• Experience working with stakeholders to define problem statements success metrics and actionable outcomes

Technical Requirements:

• Technology AI Data science Machine Learning Technology AI Data science PYTHON

Additional Responsibilities:

• Experience leading teams or workstreams including mentoring technical reviews and delivery ownership
• Strong proficiency with Python data science ecosystem e
• g
• NumPy Pandas scikit learn and experiment tracking practices
• Exposure to deep learning or advanced ML techniques and frameworks e
• g
• TensorFlow PyTorch where applicable
• Ability to design scalable solution approaches and collaborate effectively in a hybrid work environment
• Strong documentation and communication skills to present insights trade offs and recommendations with clarity

Preferred Skills: