Lead Data Scientist

at Honeywell
Published November 1, 2022
Location North Carolina, United States of America
Category Data Science  
Job Type Full-time  


About the job

Join the industry leader to design the next generation of breakthroughs

Innovate to solve the world's most important challenges

Honeywell is a Fortune 100 company that invents and manufactures technologies to address critical challenges linked to global macrotrends such as safety, security, productivity, global urbanization and energy. With approximately 129,000 employees worldwide, including more than 19,000 engineers and scientists, Honeywell has an unrelenting focus on quality, delivery, value, and technology in everything they make and do. Honeywell has been named a Top 100 Global Innovator for seven years in a row, recognizing the company’s global reach of portfolio and invention influence.

In Kansas City, Honeywell Federal Manufacturing & Technologies (FM&T) manages and operates the U.S. Department of Energy/National Nuclear Security Administration’s (NNSA) Kansas City National Security Campus. This state-of-the-art engineering, manufacturing and sourcing facility produces a wide array of intricate components to deliver trusted national security products and government services primarily for the NNSA. Honeywell FM&T’s culture of integrity, commitment and continuous improvement enables them to deliver responsive, collaborative, and innovative management and technology services and products that translate into cutting edge solutions to complex national security issues.

***This position will be in Kansas City, MO***


  • Lead highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications
  • Utilize project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution
  • Research, test, and implement solutions that advance innovation and processes related to data science in support of business goals
  • Work directly with customers and business partners to prioritize investment in processes, people, capability, and infrastructure. Develop, maintain, and publish roadmaps covering assigned technical areas of responsibility
  • Accountable for team adherence to ingestion, data preparation, curation, and governance policies in support of complex analytics models and workflows
  • Serve as technical lead on large complex projects. Ability to create and present executable plan with risk factors identified
  • Provide technical guidance, leadership, and coaching to team members on topics ranging from business acumen to technical implementation. Mentor peers and develop training plans/strategies to maintain and grow technical acumen within team
  • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety
  • Accountable for guidelines and standards for analytics and machine learning models, their deployment, and associated processes
  • Conducts activities in a safe and healthy manner and works in accordance with established HS&E requirements to ensure the protection of employees, the public, and the environment
  • Takes actions necessary to 'stop' work when an unsafe condition or action is identified. Every employee has the right and responsibility to stop work when unsafe conditions or actions are identified

You Must Have

  • BS in engineering from ABET accredited institution or master’s degree in data science or related field, or two years of relevant experience in lieu of a degree
  • Seven or more years of relevant experience in data science or related technical activities
  • Expert using scripting and querying languages, such as Python, R, SQL, and others
  • Expert in serving as a technical lead in support of large, complex projects
  • Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation

We Value

  • Ability to understand and communicate on a broad array of technical and business issues, developing innovative and effective solutions
  • Demonstrated initiative staying current on industry practice outside of study and training, with a high and broad level of industry knowledge
  • Expert working knowledge of statistics, statistical modeling, and statistical process control
  • Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management both through written and oral channels
  • Proven mentoring ability to guide initiatives results and technical growth in peers
  • Highly capable communicator (verbal, written, and presentation) interacting with customers, peers, and management
  • User experience mindset, including the production of visualizations and infographics to distill complex information
  • Experience producing analytics data visualizations, preferably using Tableau, MicroStrategy, or equivalent
  • Expert working with Hadoop, Hive, Apache Spark, etc
  • Expert working with machine learning, neural networks, deep learning

Remote roles can be located in any of the states where Honeywell Federal Manufacturing & Technologies, LLC is authorized to do business. ** Some roles, however, may have to be co-located with their teams in certain locations

  • Honeywell Federal Manufacturing is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Honeywell Federal Manufacturing & Technologies is registered, you will not be eligible for employment

Additional Information

  • JOB ID: req374868
  • Category: Engineering
  • Location: 14520 Botts Road,Kansas City,Missouri,64147,United States
  • Exempt
  • Must be a US Citizen due to contractual requirements.

Honeywell FM&T Overview

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.