Advanced Data Scientist
Honeywell
Deliver business value through Right and Fast partnership
About Honeywell
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The Business Unit
Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywell's domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018, HCE has established the category of intelligent operations and built a new platform, Honeywell Forge, which unites real-time data across assets, people, and processes into a system of record for a 360-degree view. We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly. To learn more, please visit click here. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
As an Advanced Data Scientist here at Honeywell Connected Enterprise (HCE) in the Buildings domain, you will play a crucial role in leveraging data to drive insights and develop advanced data science models. You will be responsible for creating end-to-end data and model pipelines, utilizing your expertise in cloud platforms such as Azure and GCP. Your knowledge of ML Ops will be a valuable asset in optimizing and deploying machine learning models. This is an exciting opportunity to contribute to the digital transformation of the buildings industry and make a significant impact on the future of smart and sustainable buildings.
You will report directly to our Data Science Manager, and you'll work out of our Bangalore, India location on a hybrid work schedule.
Key Responsibilities
• Design, develop and implement advanced data science models to extract insights and drive business outcomes in the building's domain.
• Create end-to-end data and model pipelines, ensuring data integrity and efficient model deployment.
• Utilize cloud platforms such as Azure and GCP to leverage scalable and efficient computing resources.
• Optimize and deploy machine learning models using ML Ops best practices.
• Collaborate with cross-functional teams to integrate data science solutions seamlessly into existing systems and processes
• Work closely with product managers and business leaders to align data science initiatives with overall business objectives
• Lead the end-to-end data science development lifecycle, including project planning, resource allocation, and monitoring progress.
• Provide mentorship and guidance to data scientists, fostering a culture of continuous learning, innovation, and technical excellence
You Must Have
• Bachelor's degree in Computer science, Statistics, Mathematics, or a related discipline
• 6+ years of extensive experience in building solutions using statistical modeling, regression, ML, DL
• Expertise in CI/CD pipeline, MLOps framework
• Expertise in more than 2 areas of AI/ML like Machine Learning/Deep learning/NLP/CV/GenAI
• Excellent communication and ability to convey complex technical concepts to stakeholders
• Ability to lead and influence direct and indirect reports
• Interact with stakeholders, gather the requirement , independently come up with solutions and implement
• Proficiency in programming languages such as Python, SQL
• Proficiency in cloud platform - Azure or GCP
We Value
• Proficiency in programming languages such as Python, SQL
• Proficiency in ML/DL/NLP
• Good to have experience in Buildings domain especially HVAC
• Experience in GenAI, knowledge graph is extremely valued
• Strong leadership and management skills
• Experience working in an agile development environment
• Proven ability to drive successful data science projects and initiatives
• Ability to work in a fast-paced and dynamic environment
• Attention to detail and excellent problem-solving capability
Additional Information
Early Career (ALL)
About Honeywell
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The Business Unit
Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywell's domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018, HCE has established the category of intelligent operations and built a new platform, Honeywell Forge, which unites real-time data across assets, people, and processes into a system of record for a 360-degree view. We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly. To learn more, please visit click here. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
As an Advanced Data Scientist here at Honeywell Connected Enterprise (HCE) in the Buildings domain, you will play a crucial role in leveraging data to drive insights and develop advanced data science models. You will be responsible for creating end-to-end data and model pipelines, utilizing your expertise in cloud platforms such as Azure and GCP. Your knowledge of ML Ops will be a valuable asset in optimizing and deploying machine learning models. This is an exciting opportunity to contribute to the digital transformation of the buildings industry and make a significant impact on the future of smart and sustainable buildings.
You will report directly to our Data Science Manager, and you'll work out of our Bangalore, India location on a hybrid work schedule.
Key Responsibilities
• Design, develop and implement advanced data science models to extract insights and drive business outcomes in the building's domain.
• Create end-to-end data and model pipelines, ensuring data integrity and efficient model deployment.
• Utilize cloud platforms such as Azure and GCP to leverage scalable and efficient computing resources.
• Optimize and deploy machine learning models using ML Ops best practices.
• Collaborate with cross-functional teams to integrate data science solutions seamlessly into existing systems and processes
• Work closely with product managers and business leaders to align data science initiatives with overall business objectives
• Lead the end-to-end data science development lifecycle, including project planning, resource allocation, and monitoring progress.
• Provide mentorship and guidance to data scientists, fostering a culture of continuous learning, innovation, and technical excellence
You Must Have
• Bachelor's degree in Computer science, Statistics, Mathematics, or a related discipline
• 6+ years of extensive experience in building solutions using statistical modeling, regression, ML, DL
• Expertise in CI/CD pipeline, MLOps framework
• Expertise in more than 2 areas of AI/ML like Machine Learning/Deep learning/NLP/CV/GenAI
• Excellent communication and ability to convey complex technical concepts to stakeholders
• Ability to lead and influence direct and indirect reports
• Interact with stakeholders, gather the requirement , independently come up with solutions and implement
• Proficiency in programming languages such as Python, SQL
• Proficiency in cloud platform - Azure or GCP
We Value
• Proficiency in programming languages such as Python, SQL
• Proficiency in ML/DL/NLP
• Good to have experience in Buildings domain especially HVAC
• Experience in GenAI, knowledge graph is extremely valued
• Strong leadership and management skills
• Experience working in an agile development environment
• Proven ability to drive successful data science projects and initiatives
• Ability to work in a fast-paced and dynamic environment
• Attention to detail and excellent problem-solving capability
Additional Information
- JOB ID: HRD260646
- Category: Engineering
- Location: HW Camp II,Bldgs 9A&9B,Plot C2,RMZ Ecoworld,Varturhobli,Sarjapur Marathahalli Outer Ring Road,Bangalore,KARNATAKA,560103,India
- Exempt
Early Career (ALL)
JOB SUMMARY
Advanced Data Scientist
Honeywell
Bengaluru
4 days ago
N/A
Full-time
Advanced Data Scientist