Data Scientist II

About the position

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.

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

Requirements

• Bachelor'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)

Nice-to-haves

• Master's 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.

Benefits

• Employer-subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• EAP
• Educational Assistance
• Parental Leave
• Paid Time Off (for vacation, personal business, sick time, and parental leave)
• 12 Paid Holidays