Advanced Data Scientist
Honeywell
Advanced Data Scientist
Job Description
Advanced Data Scientist
Overview
Honeywell is seeking an experienced and innovative Advanced Data Scientist to join our Commercial Data & Analytics (CoDA) team in India. This hybrid role offers the flexibility to work from our state-of-the-art offices and remotely, fostering collaboration and innovation. You will apply advanced analytics, machine learning, and generative AI to solve complex business challenges and drive strategic decision-making across the enterprise. As a Fortune 100 company, Honeywell empowers you to innovate in aerospace, building technologies, performance materials, and safety solutions, impacting millions globally.
Key Responsibilities
- Design, develop, and deploy scalable machine learning models and generative AI solutions to optimize business processes in supply chain, customer insights, and predictive maintenance.
- Leverage large-scale datasets to build advanced statistical models, including time-series forecasting and anomaly detection, delivering actionable insights for executive stakeholders.
- Lead end-to-end data science projects, from data ingestion and feature engineering to model validation and production deployment using MLOps best practices.
- Collaborate with cross-functional teams, including engineers, product managers, and business leaders, to translate complex data into strategic recommendations.
- Experiment with cutting-edge generative AI techniques, such as large language models (LLMs) and diffusion models, to enhance automation and decision support systems.
- Conduct rigorous A/B testing and performance monitoring to ensure model accuracy, robustness, and business impact.
What Makes This Role Exciting
Join a dynamic team at the forefront of Honeywell's digital transformation, where your work directly influences global operations and sustainability goals. Enjoy access to Honeywell's world-class compute resources, collaborative hybrid environment, and opportunities to present at industry conferences. Thrive in a culture that values innovation, with mentorship from senior data scientists and exposure to enterprise-scale challenges. Contribute to meaningful projects that drive efficiency, reduce costs, and create safer, smarter worlds.
Summary
Honeywell is seeking an experienced and innovative Advanced Data Scientist to join our Commercial Data & Analytics (CoDA) team. In this role, you’ll apply advanced analytics, machine learning, and generative AI to solve complex business challenges and drive strategic decision-making across the enterprise.
Locations
- Devarabisanahalli Village, KR Varturhobli,, East Taluk - Phase I, , India, KA, IN 560103
Salary
1,500,000 - 3,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Advanced machine learning and deep learningintermediate
- Generative AI and large language modelsintermediate
- Python, R, SQL for data manipulation and analysisintermediate
- Big data technologies (Spark, Hadoop, Kafka)intermediate
- Cloud computing (AWS SageMaker, Azure ML, GCP Vertex AI)intermediate
- Statistical modeling and hypothesis testingintermediate
- MLOps and CI/CD for ML workflowsintermediate
- Data visualization (Tableau, Power BI, Matplotlib)intermediate
- Strong problem-solving and analytical thinkingintermediate
- Excellent communication and stakeholder managementintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
- 5+ years of professional experience in data science, machine learning, or advanced analytics roles (experience)
- Proven track record of deploying ML models in production environments (experience)
- Strong proficiency in Python or R for data analysis and modeling (experience)
- Experience working with large-scale datasets and cloud platforms (e.g., AWS, Azure, GCP) (experience)
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn (experience)
Preferred Qualifications
- Master's or PhD in Data Science, Machine Learning, or related field (experience)
- Experience with generative AI technologies (e.g., LLMs, GANs) (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer (experience)
Responsibilities
- Develop and implement advanced ML models, including supervised, unsupervised, and reinforcement learning algorithms to address enterprise challenges
- Build and optimize generative AI pipelines for applications like natural language processing and synthetic data generation
- Perform exploratory data analysis, feature engineering, and model tuning on petabyte-scale datasets
- Lead data science initiatives from ideation to deployment, integrating models into Honeywell's software ecosystems
- Collaborate with business units to define KPIs, design experiments, and measure ROI of analytics solutions
- Mentor junior data scientists and contribute to the team's knowledge-sharing practices
- Stay abreast of emerging AI trends and evaluate their applicability to Honeywell's strategic priorities
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health insurance for employee and family
- general: Provident Fund (PF) matching and gratuity
- general: Professional development programs and tuition reimbursement
- general: Flexible hybrid work model with work-life balance initiatives
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Advanced Data Scientist @ Honeywell.
Related Books and Jobs
Advanced Data Scientist
Honeywell
Advanced Data Scientist
Job Description
Advanced Data Scientist
Overview
Honeywell is seeking an experienced and innovative Advanced Data Scientist to join our Commercial Data & Analytics (CoDA) team in India. This hybrid role offers the flexibility to work from our state-of-the-art offices and remotely, fostering collaboration and innovation. You will apply advanced analytics, machine learning, and generative AI to solve complex business challenges and drive strategic decision-making across the enterprise. As a Fortune 100 company, Honeywell empowers you to innovate in aerospace, building technologies, performance materials, and safety solutions, impacting millions globally.
Key Responsibilities
- Design, develop, and deploy scalable machine learning models and generative AI solutions to optimize business processes in supply chain, customer insights, and predictive maintenance.
- Leverage large-scale datasets to build advanced statistical models, including time-series forecasting and anomaly detection, delivering actionable insights for executive stakeholders.
- Lead end-to-end data science projects, from data ingestion and feature engineering to model validation and production deployment using MLOps best practices.
- Collaborate with cross-functional teams, including engineers, product managers, and business leaders, to translate complex data into strategic recommendations.
- Experiment with cutting-edge generative AI techniques, such as large language models (LLMs) and diffusion models, to enhance automation and decision support systems.
- Conduct rigorous A/B testing and performance monitoring to ensure model accuracy, robustness, and business impact.
What Makes This Role Exciting
Join a dynamic team at the forefront of Honeywell's digital transformation, where your work directly influences global operations and sustainability goals. Enjoy access to Honeywell's world-class compute resources, collaborative hybrid environment, and opportunities to present at industry conferences. Thrive in a culture that values innovation, with mentorship from senior data scientists and exposure to enterprise-scale challenges. Contribute to meaningful projects that drive efficiency, reduce costs, and create safer, smarter worlds.
Summary
Honeywell is seeking an experienced and innovative Advanced Data Scientist to join our Commercial Data & Analytics (CoDA) team. In this role, you’ll apply advanced analytics, machine learning, and generative AI to solve complex business challenges and drive strategic decision-making across the enterprise.
Locations
- Devarabisanahalli Village, KR Varturhobli,, East Taluk - Phase I, , India, KA, IN 560103
Salary
1,500,000 - 3,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Advanced machine learning and deep learningintermediate
- Generative AI and large language modelsintermediate
- Python, R, SQL for data manipulation and analysisintermediate
- Big data technologies (Spark, Hadoop, Kafka)intermediate
- Cloud computing (AWS SageMaker, Azure ML, GCP Vertex AI)intermediate
- Statistical modeling and hypothesis testingintermediate
- MLOps and CI/CD for ML workflowsintermediate
- Data visualization (Tableau, Power BI, Matplotlib)intermediate
- Strong problem-solving and analytical thinkingintermediate
- Excellent communication and stakeholder managementintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field (experience)
- 5+ years of professional experience in data science, machine learning, or advanced analytics roles (experience)
- Proven track record of deploying ML models in production environments (experience)
- Strong proficiency in Python or R for data analysis and modeling (experience)
- Experience working with large-scale datasets and cloud platforms (e.g., AWS, Azure, GCP) (experience)
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn (experience)
Preferred Qualifications
- Master's or PhD in Data Science, Machine Learning, or related field (experience)
- Experience with generative AI technologies (e.g., LLMs, GANs) (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer (experience)
Responsibilities
- Develop and implement advanced ML models, including supervised, unsupervised, and reinforcement learning algorithms to address enterprise challenges
- Build and optimize generative AI pipelines for applications like natural language processing and synthetic data generation
- Perform exploratory data analysis, feature engineering, and model tuning on petabyte-scale datasets
- Lead data science initiatives from ideation to deployment, integrating models into Honeywell's software ecosystems
- Collaborate with business units to define KPIs, design experiments, and measure ROI of analytics solutions
- Mentor junior data scientists and contribute to the team's knowledge-sharing practices
- Stay abreast of emerging AI trends and evaluate their applicability to Honeywell's strategic priorities
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health insurance for employee and family
- general: Provident Fund (PF) matching and gratuity
- general: Professional development programs and tuition reimbursement
- general: Flexible hybrid work model with work-life balance initiatives
- general: Employee stock purchase plan and wellness programs
Tags & Categories
Answer 10 quick questions to check your fit for Advanced Data Scientist @ Honeywell.
Related Books and Jobs