Sr Advanced Data Scientist

Honeywell — Bengaluru, Karnataka, India

YOU MUST HAVE • 6+ years of experience in data science, machine learning, or a related field. • Proven experience in developing and deploying AI models and algorithms. • Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking. • Strong programming skills in languages such as Python or R. • Strong project management and organizational abilities • Strong written and spoken communication skills in English. WE VALUE • Bachelor’s or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field. • Experience with big data platforms and distributed processing, including Hadoop, PySpark, Hive, and related technologies. • Strong foundation in machine learning and statistics, including feature engineering, algorithm selection, hyperparameter tuning, and predictive modeling. • Hands-on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows. • Experience preparing and analyzing multimodal data (text, images, audio, PDFs) and visualizing insights using modern data visualization tools. • Proven leadership and collaboration skills, including leading data science initiatives, solving complex problems, and working effectively in fast-paced, cross-functional teams KEY RESPONSIBILITIES • Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions. • Translate business requirements into technical specifications for data science initiatives. • Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business. • Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency. • Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and s

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