Innovate high-purity, high-performance chemicals and materialsHoneywell 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 companys 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 Administrations (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&Ts 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 individual will contribute their expertise in data science to a multi-functional team implementing an high-visibility manufacturing initiative at the Kansas City National Security Campus (KCNSC). The primary focus on this role will be generating, validating, and deploying predictive models for scheduling and expected manufacturing flow times.
The selected candidate will:
- Interface with multiple stakeholders and team members to improve predictability of operations
- Work with internal web application development team accessible throughout KCNSC to incorporate established models into stakeholder daily decision making processes
- Work with data science team to provide solutions to stakeholder challenges on a variety of topics
- Stay current with relevant emerging technology and make recommendations on investment opportunities
- Mentor team members and provide guidance on data science topics improve the effectiveness of the team
Basic Qualification Needed to be Qualified for the Role:
- BS in engineering from ABET accredited institution or masters degree in data science or related field, or two years of relevant experience in lieu of a degree
- Five or more years of relevant experience in data science or related technical activities
- US citizenship to obtain and maintain US Dept of Energy "Q" level security clearance
Additional qualifications that the ideal candidate would possess:
- Expert using scripting and querying languages, such as Python, R, SQL, and others.
- Demonstrated experience in serving as a technical lead of moderately complex projects.
- Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation.
- Candidates with additional years of experience will be considered
- Demonstrated ability to model complex processes using a variety of techniques
- Expert using various programming, scripting, and querying languages such as Java, Python, .NET, SQL
- Experience working with Apache Spark, Dataiku, Hadoop, etc.
- User experience mindset, including creation of visualizations to distill information
- Demonstrated ability to understand a broad array of technical and business issues, prioritize work, and analyze issues
to develop effective solutions
FMT 2021
