Senior Advanced Data Scientist

Honeywell

Data Scientist transforming complex data into actionable insights for AI solutions at Honeywell. Collaborating with teams to deploy AI-driven solutions and evaluate model performance.

Posted 7/28/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI models and algorithms, with a strong foundation in machine learning, statistics, and data governance. Proficient in collaborating with cross-functional teams to translate business requirements into technical specifications and implement AI-driven solutions.

Highest-signal resume keywords

AI Model DevelopmentMachine LearningPython ProgrammingDatabricksData Governance

ATS Keywords

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Hard Skills

Data ScienceMachine LearningAlgorithm DevelopmentFeature EngineeringPredictive ModelingHyperparameter TuningBig Data TechnologiesMultimodal Data AnalysisData VisualizationPrompt Engineering

Soft Skills

Project ManagementOrganizational AbilitiesWritten CommunicationSpoken CommunicationCollaboration Skills

Tools & Technologies

Azure AI FoundryGoogle Gemini Enterprise AgentHadoopPySparkHiveLangChainLlamaIndexVector IndexesS/4 AI Agent Workflows

Industry Keywords

AI SolutionsData Governance StandardsEthical Best PracticesData ReadinessAgentic AI Architectures

Tech Stack

Tools & technologies

AzureHadoopPySparkPython

About the role

Key responsibilities & impact

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 scalability.
Design agentic AI architectures with prompt engineering and rule‑based automation to identify root causes, recommend actions, and continuously refine business‑aligned solutions.
Develop and implement advanced AI models and algorithms to analyze complex datasets.
Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions.
Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

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