Data Scientist II
Honeywell
Data Scientist II
Job Description
Data Scientist II
Location: India | Workplace: Hybrid
Overview
Honeywell is a Fortune 100 company that delivers industry-changing technology solutions to address the world's toughest challenges in aerospace, buildings, performance materials, safety, and productivity. We are seeking a talented Data Scientist II to join our innovative team in India. In this role, you will leverage advanced data science techniques to drive business insights, optimize operations, and develop predictive models that power Honeywell's cutting-edge technologies across multiple industries. As a hybrid position, you'll enjoy flexibility with a mix of office collaboration and remote work.
Key Responsibilities
- Design, develop, and deploy machine learning models and statistical algorithms to analyze complex datasets from IoT sensors, manufacturing processes, and enterprise systems.
- Lead data exploration initiatives, identifying patterns and anomalies to inform strategic decision-making and process improvements.
- Collaborate with cross-functional teams including engineers, product managers, and domain experts to translate business requirements into scalable data solutions.
- Build and maintain data pipelines using cloud platforms like AWS or Azure, ensuring data quality, integrity, and accessibility.
- Conduct advanced analytics, including predictive modeling, natural language processing, and computer vision, to enhance product performance and customer experiences.
- Present findings and recommendations to senior stakeholders through compelling visualizations and reports using tools like Tableau or Power BI.
- Stay abreast of emerging data science trends and contribute to innovation in Honeywell's AI/ML roadmap.
What Makes This Role Exciting
Join a global leader where your work directly impacts real-world applications in aviation, smart buildings, and sustainable technologies. You'll have access to state-of-the-art tools, mentorship from industry experts, and opportunities to lead high-impact projects. At Honeywell, we foster a culture of innovation, inclusivity, and growth, offering the chance to collaborate with diverse teams and shape the future of intelligent systems. If you're passionate about turning data into actionable intelligence, this is your opportunity to thrive in a dynamic, rewarding environment.
Locations
- 56 & 57 Hadapsar Industrial Estate, , Pune, MH, IN 411013
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
- Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)intermediate
- SQL and big data querying (Spark, Hive)intermediate
- Machine learning algorithms (regression, classification, clustering, deep learning)intermediate
- Data visualization (Tableau, Power BI, Matplotlib)intermediate
- Cloud computing (AWS SageMaker, Azure ML, GCP Vertex AI)intermediate
- Statistical analysis and hypothesis testingintermediate
- Version control (Git) and CI/CD for ML workflowsintermediate
- Strong problem-solving and communication skillsintermediate
- Experience with time-series analysis and IoT dataintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (experience)
- 5+ years of professional experience in data science, machine learning, or predictive analytics roles (experience)
- Proven track record of developing and deploying ML models in production environments (experience)
- Strong proficiency in Python or R for data analysis and modeling (experience)
- Experience with big data technologies such as Spark, Hadoop, or SQL/NoSQL databases (experience)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) for data processing and ML deployment (experience)
Preferred Qualifications
- Master's or PhD in Data Science, Machine Learning, or a related field (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer (experience)
- Domain experience in aerospace, manufacturing, IoT, or industrial automation (experience)
Responsibilities
- Develop and optimize machine learning models for predictive maintenance, anomaly detection, and optimization in industrial applications
- Lead end-to-end data science projects, from data ingestion and cleaning to model evaluation and deployment
- Collaborate with engineering and business teams to integrate AI solutions into Honeywell products and services
- Perform exploratory data analysis on large-scale datasets to uncover actionable insights
- Design and implement scalable data pipelines and ETL processes using tools like Apache Airflow
- Mentor junior data scientists and contribute to best practices in model governance and ethics
- Monitor model performance post-deployment and iterate based on real-world feedback
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 Data Scientist II @ Honeywell.
Related Books and Jobs
Data Scientist II
Honeywell
Data Scientist II
Job Description
Data Scientist II
Location: India | Workplace: Hybrid
Overview
Honeywell is a Fortune 100 company that delivers industry-changing technology solutions to address the world's toughest challenges in aerospace, buildings, performance materials, safety, and productivity. We are seeking a talented Data Scientist II to join our innovative team in India. In this role, you will leverage advanced data science techniques to drive business insights, optimize operations, and develop predictive models that power Honeywell's cutting-edge technologies across multiple industries. As a hybrid position, you'll enjoy flexibility with a mix of office collaboration and remote work.
Key Responsibilities
- Design, develop, and deploy machine learning models and statistical algorithms to analyze complex datasets from IoT sensors, manufacturing processes, and enterprise systems.
- Lead data exploration initiatives, identifying patterns and anomalies to inform strategic decision-making and process improvements.
- Collaborate with cross-functional teams including engineers, product managers, and domain experts to translate business requirements into scalable data solutions.
- Build and maintain data pipelines using cloud platforms like AWS or Azure, ensuring data quality, integrity, and accessibility.
- Conduct advanced analytics, including predictive modeling, natural language processing, and computer vision, to enhance product performance and customer experiences.
- Present findings and recommendations to senior stakeholders through compelling visualizations and reports using tools like Tableau or Power BI.
- Stay abreast of emerging data science trends and contribute to innovation in Honeywell's AI/ML roadmap.
What Makes This Role Exciting
Join a global leader where your work directly impacts real-world applications in aviation, smart buildings, and sustainable technologies. You'll have access to state-of-the-art tools, mentorship from industry experts, and opportunities to lead high-impact projects. At Honeywell, we foster a culture of innovation, inclusivity, and growth, offering the chance to collaborate with diverse teams and shape the future of intelligent systems. If you're passionate about turning data into actionable intelligence, this is your opportunity to thrive in a dynamic, rewarding environment.
Locations
- 56 & 57 Hadapsar Industrial Estate, , Pune, MH, IN 411013
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
- Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)intermediate
- SQL and big data querying (Spark, Hive)intermediate
- Machine learning algorithms (regression, classification, clustering, deep learning)intermediate
- Data visualization (Tableau, Power BI, Matplotlib)intermediate
- Cloud computing (AWS SageMaker, Azure ML, GCP Vertex AI)intermediate
- Statistical analysis and hypothesis testingintermediate
- Version control (Git) and CI/CD for ML workflowsintermediate
- Strong problem-solving and communication skillsintermediate
- Experience with time-series analysis and IoT dataintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (experience)
- 5+ years of professional experience in data science, machine learning, or predictive analytics roles (experience)
- Proven track record of developing and deploying ML models in production environments (experience)
- Strong proficiency in Python or R for data analysis and modeling (experience)
- Experience with big data technologies such as Spark, Hadoop, or SQL/NoSQL databases (experience)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) for data processing and ML deployment (experience)
Preferred Qualifications
- Master's or PhD in Data Science, Machine Learning, or a related field (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer (experience)
- Domain experience in aerospace, manufacturing, IoT, or industrial automation (experience)
Responsibilities
- Develop and optimize machine learning models for predictive maintenance, anomaly detection, and optimization in industrial applications
- Lead end-to-end data science projects, from data ingestion and cleaning to model evaluation and deployment
- Collaborate with engineering and business teams to integrate AI solutions into Honeywell products and services
- Perform exploratory data analysis on large-scale datasets to uncover actionable insights
- Design and implement scalable data pipelines and ETL processes using tools like Apache Airflow
- Mentor junior data scientists and contribute to best practices in model governance and ethics
- Monitor model performance post-deployment and iterate based on real-world feedback
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 Data Scientist II @ Honeywell.
Related Books and Jobs