What are the responsibilities and job description for the Data Scientist II position at Honeywell?
Launch innovations in nearly every commercial and defense aircraft platform
As a Data Scientist, you will join a high-performing, global team, and assist with designing, developing, and deploying data driven solutions for all Honeywell business groups and functions. You will work closely with application architects to integrate results into operational platforms, including containerized microservices and distributed compute and storage architectures.
Additionally, the Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiencies based on data analyses both in adjacencies based on previous engagements, as well as larger industry developments.
At Honeywell, our people play a critical role in developing and assisting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture.
Key Responsibilities
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits At a Glance | Honeywell Benefits
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
U.s. Person Requirements
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
YOU MUST HAVE
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical demands around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company dedicated 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.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, care or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
Additional Information
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 a Data Scientist, you will join a high-performing, global team, and assist with designing, developing, and deploying data driven solutions for all Honeywell business groups and functions. You will work closely with application architects to integrate results into operational platforms, including containerized microservices and distributed compute and storage architectures.
Additionally, the Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiencies based on data analyses both in adjacencies based on previous engagements, as well as larger industry developments.
At Honeywell, our people play a critical role in developing and assisting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture.
Key Responsibilities
- Develop data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
- Foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions
- Communicate project output in terms of customer value, business objectives, and product opportunity
- Promote data science methods and processes across functions
- Work with our businesses and infrastructure teams to develop a strategy that will clearly outline how our enterprise platforms can enable business growth & productivity
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits At a Glance | Honeywell Benefits
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
U.s. Person Requirements
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
YOU MUST HAVE
- Master’s degree in Computer Science, Engineering, Applied Mathematics or related field
- Minimum of 2 years of Python programming experience
- Minimum of 1 year of Data Science prototyping experience
- Minimum of 1 year of experience with distributed storage and compute tools (e.g. Hive and Spark)
- PhD degree in Computer Science, Engineering, Applied Mathematics or related field
- Experience bringing prototypes to production with CI/CD pipelines and monitoring
- Experience with Streaming Analytics (i.e. Spark Streaming)
- Experience with Recurrent Neural Network architectures
- Experience with Natural Language Processing
- Experience with Image Analytics
- Experience with SQL
- Experience with Tableau
- Experience working with remote and global teams
- Results driven with a positive can-do attitude.
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical demands around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company dedicated 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.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, care or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
Additional Information
- JOB ID: req480012
- Category: Data & Analytics
- Location: 715 Peachtree Street, N.E.,Atlanta,Georgia,30308,United States
- Exempt
- Due to US export control laws, must be a US citizen, permanent resident or have protected status.
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.
