Job Description Role Overview The Senior Data Scientist will lead advanced analytics, machine learning, AI-driven insights, and data innovation initiatives across MeitY projects. This includes building scalable models, enabling data-driven decision-making, and supporting national-level digital initiatives, public service delivery platforms, and mission-mode projects.

- Data Strategy & Solution Design - Lead the design and development of end-to-end data science solutions for government projects.
- Data Strategy & Solution Design - Identify opportunities for predictive analytics, AI/ML implementation, and process optimization.
- Data Strategy & Solution Design - Collaborate with Ministry stakeholders, domain experts, and technical partners to translate policy goals into analytical frameworks.
- Machine Learning & AI Development - Build, train, deploy, and optimize ML/DL models for classification, forecasting, clustering, NLP, anomaly detection, and recommender systems.
- Machine Learning & AI Development - Develop responsible and explainable AI models aligned with government standards.
- Machine Learning & AI Development - Implement LLM-based solutions for automation, citizen service enhancement, and internal analytics.
- Data Engineering & Architecture - Work with Data Engineering teams to define data pipelines, ingestion workflows, and quality frameworks.
- Data Engineering & Architecture - Ensure data readiness, metadata management, and adherence to MeitY cyber security and data governance guidelines.
- Data Engineering & Architecture - Work with cloud environments (Azure/AWS/GCP), especially Azure Fabric/Fabric Data Engineering for analytics projects.
- Analytics, Reporting & Insights - Deliver actionable insights for policy formulation, monitoring, and evaluation.
- Analytics, Reporting & Insights - Build dashboards,



analytical reports, and KPI frameworks for senior leadership.
- Analytics, Reporting & Insights - Support development of national-level analytical platforms and real-time monitoring systems.
- Governance & Compliance - Ensure compliance with MeitY guidelines, data security norms, and IT Act provisions.
- Governance & Compliance - Ensure ethical use of AI, model transparency, and adherence to Responsible AI principles.
- Mentoring & Leadership - Guide junior data scientists, analysts, and interns.
- Mentoring & Leadership - Conduct knowledge-sharing sessions, create reusable templates, and drive best practices.

Required Skills & Competencies

- Technical Skills - Strong proficiency in Python, SQL, PySpark; familiarity with R is a plus.
- Technical Skills - Expertise in ML/DL frameworks: Scikit-learn, TensorFlow, PyTorch, Keras.
- Technical Skills - Experience with NLP tools: HuggingFace, spaCy, NLTK.
- Technical Skills - Hands-on experience with cloud services - Azure preferred (Azure ML, Fabric, Data Factory, Databricks).
- Technical Skills - Experience with large datasets, data lakes, and distributed computing.
- Technical Skills - Strong understanding of statistics, probability, optimization, and model evaluation.
- Technical Skills - Experience with Visualization tools: Power BI, Tableau, or Azure Fabric dashboards.
- Soft Skills - Solid analytical and problem-solving skills.




- Soft Skills - Excellent communication and stakeholder engagement ability.
- Soft Skills - Ability to work in a fast-paced, multi-stakeholder government environment.
- Soft Skills - Clear documentation and presentation skills.

- Experience & Qualifications - Education: B.Tech/M.Tech in Computer Science, Data Science, Statistics, Mathematics, or related fields; OR Master's Degree in a quantitative discipline.
- Experience & Qualifications - Experience: 5+ years in Data Science/AI/ML.
- Experience & Qualifications - Experience in large-scale government, public sector, or enterprise projects preferred.
- Experience & Qualifications - Experience working with sensitive datasets and secure environments is desirable.

- Preferred Experience in MeitY/ Government Projects - Exposure to Digital Public Infrastructure (DPI), national-level portals, or mission-mode projects.
- Preferred Experience in MeitY/ Government Projects - Understanding of e-governance frameworks, data governance, and public data platforms.
- Preferred Experience in MeitY/ Government Projects - Experience with citizen-centric analytics or program monitoring dashboards (e.g., PMG, NeGP, Digital India).

- Key Deliverables - ML models and analytical solutions deployed in production.
- Key Deliverables - Automated data pipelines and model monitoring dashboards.
- Key Deliverables - Insights and reports for policy and program evaluation.
- Key Deliverables - Documentation, reusable code repositories, and SOPs.
- Key Deliverables - Capacity-building for internal teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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