Advanced Data Scientist

Key Skills

Python Programming, SQL, Data science techniques, Natural Language Processing (NLP), Tableau, Continuous Integration & Continuous Delivery - CI/CD, SPARK Programming, Neural Networks, Distributed systems, Prototyping

Job Description

Join the industry leader to design the next generation of breakthroughs

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell.

About this role:

• We’re looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
• As an Advanced 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 Advanced 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.

SPECIFIC 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

You Must Have:

• 5 years of Python programming experience
• 3 years of Data Science prototyping experience
• 3 years of experience with distributed storage and compute tools (e.g., Spark)
• 2 years of bringing prototypes to production with CI/CD pipelines and monitoring
• Master’s degree in STEM

We Value:

• PhD degree in Computer Science, Engineering, Applied Mathematics or related field
• Experience with Streaming Analytics
• Experience with developing and deploying Natural Language Processing/Understanding applications
• Experience with Recurrent Neural Network architectures
• 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.