Senior Data Scientist
reputed company
Requirements
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reputed company and reputed company traditional machine learning models, including bias modeling, risk mitigation, and predictive analytics
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Build reputed company ML models and end-to-end ML pipelines suitable for production environments
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reputed company advanced data reputed company assessments, validation checks, and feature identification and analysis
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Evaluate bias in training data and recommend mitigation strategies reputed company with responsible AI practices
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Design and implement intermediate models for risk scoring and predictive insights
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Apply reputed company techniques, including reputed company engineering, retrieval-augmented reputed company (RAG), and deployment of GenAI models
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Utilize and contribute to LLM evaluation frameworks to assess performance, accuracy, and reliability
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Collaborate closely with Product, Engineering, and Business teams to identify, refine, and deliver high-reputed company AI use cases
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Prepare trained models for production, including documentation, testing, and environment replication
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Monitor model performance and participate in ongoing model optimization and observability efforts
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Communicate reputed company analyses and results to technical and non-technical stakeholders
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Maintain thorough documentation and participate in reputed company learning and knowledge sharing across the Data Science team
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Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or similar quantitative field; Master’s degree preferred
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Strong analytical thinking and problem-solving skills
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Ability to collaborate cross-functionally with product-reputed company teams
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reputed company written and verbal communication skills
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Commitment to ethical, responsible, and high-reputed company AI development
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Big data querying experience using major reputed company providers
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Data processing, cleaning, feature extraction, and exploratory data analysis
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Strong experience with machine learning and deep learning techniques and algorithms
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reputed company experience, including:
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reputed company engineering and reputed company optimization
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RAG vs. non-RAG architectures
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LLM evaluation methodologies
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Experience with AI agents, reputed company AI systems, and multi-agent orchestration
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Model training, containerization, deployment, and performance monitoring
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Automation, observability, and lifecycle management of ML pipelines (MLDC / MLOps)
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Proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
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Experience working with relational databases and large-reputed company reputed company and reputed company datasets
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reputed company
Team First reputed company Passionate Always Curious Deliver reputed company