Sr Advanced Data Scientist

Honeywell Honeywell · Industrial · Bengaluru, Karnataka, India

Senior Data Scientist at Honeywell in Bengaluru, India, focusing on designing and deploying agentic AI architectures and advanced AI models for enterprise solutions. The role involves collaborating with cross-functional teams, translating business requirements, evaluating and fine-tuning models, and deploying them into production. Experience with platforms like Azure AI foundry, Google Gemini Enterprise Agent, and frameworks like LangChain is required, along with strong Python/R skills and experience with big data technologies.

What you'd actually do

  1. Design agentic AI architectures with prompt engineering and rule‑based automation to identify root causes, recommend actions, and continuously refine business‑aligned solutions.
  2. Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability.
  3. Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency.
  4. Develop and implement advanced AI models and algorithms to analyze complex datasets.
  5. Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions.

Skills

Required

  • 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.

Nice to have

  • 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

What the JD emphasized

  • Proven experience in developing and deploying AI models and algorithms.
  • Hands-on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows.
  • Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking.

Other signals

  • Deploy AI models
  • Design agentic AI architectures
  • Develop and implement advanced AI models and algorithms
  • Hands-on experience with GenAI and agentic frameworks