Data Science

**This role is for one of the Weekday's clients** Min Experience: 10 years Location: Gurugram JobType: full\-time We are seeking an experienced **Senior Data Science \& GenAI Specialist** with 10\-16 years of industry experience to drive advanced analytics, machine learning, and generative AI initiatives across business functions. The ideal candidate should have strong expertise in **Data Science with Python** and hands\-on experience building scalable AI/ML solutions, with a growing focus on **Generative AI (GenAI)** applications. This role involves working closely with business leaders, engineering teams, and stakeholders to design, develop, and deploy intelligent solutions that solve complex business problems and create measurable impact. **Requirements** **Key Responsibilities:** * Design, develop, and deploy end\-to\-end data science and AI solutions using Python and modern machine learning frameworks. * Build predictive, prescriptive, and classification models for solving business challenges across multiple domains. * Develop and implement Generative AI use cases including content generation, summarization, conversational AI, recommendation systems, and workflow automation. * Work with structured and unstructured datasets, performing data cleaning, feature engineering, model training, validation, and optimization. * Collaborate with cross\-functional teams to identify business opportunities where AI/ML and GenAI can create operational efficiency or product innovation. * Develop scalable machine learning pipelines and integrate models into production environments. * Fine\-tune and optimize foundation models or integrate APIs for GenAI solutions. * Conduct model performance monitoring, A/B testing, and continuous improvement of deployed solutions. * Mentor junior data scientists, ML engineers, and analysts on best practices in data science and AI development. * Stay updated with emerging trends in AI, machine learning, and generative AI ecosystems. * Translate business requirements into technical AI/ML roadmaps and architecture recommendations. * Ensure governance, model explainability, and responsible AI practices are followed. **Required Skills (Must Have):** * 10\-16 years of hands\-on experience in Data Science and advanced analytics. * Strong expertise in Python for data science, machine learning, statistical analysis, and automation. * Proven experience with libraries/frameworks such as Pandas, NumPy, Scikit\-learn, TensorFlow, PyTorch, or similar. * Hands\-on experience in Generative AI (GenAI) including prompt engineering, model orchestration, retrieval\-based systems, or AI application development. * Strong understanding of machine learning algorithms, statistics, predictive modeling, NLP, and deep learning. * Experience in model deployment, MLOps, and scalable AI solution implementation. * Strong problem\-solving, analytical thinking, and stakeholder communication skills. **Good to Have Skills:** * Experience working with Large Language Models (LLMs) such as GPT, open\-source LLMs, or enterprise AI platforms. * Exposure to broader AI/ML ecosystems including computer vision, NLP, reinforcement learning, or neural networks. * Familiarity with cloud platforms such as AWS, Azure, or GCP for AI workloads. * Experience with vector databases, embeddings, LangChain/LlamaIndex, or RAG pipelines. * Knowledge of CI/CD pipelines and model lifecycle management. **Preferred Qualifications:** * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field. * Advanced certifications in AI/ML, Data Science, or Generative AI are a plus. * Prior experience leading enterprise\-scale AI transformation initiatives is preferred