Innovate to solve the worlds most important challengesHoneywell is a Fortune 100 company that invents andmanufactures technologies to address critical challenges linked to globalmacrotrends such as safety, security, productivity, global urbanization, andenergy. With approximately 129,000 employees worldwide, including more than19,000 engineers and scientists, Honeywell has an unrelenting focus on quality,delivery, value, and technology in everything they make and do. Honeywell hasbeen named a Top 100 Global Innovator for seven years in a row, recognizing thecompanys global reach of portfolio and invention influence.
In Kansas City, Honeywell Federal Manufacturing &Technologies (FM&T) manages and operates the U.S. Department ofEnergy/National Nuclear Security Administrations (NNSA) Kansas City NationalSecurity Campus. This state-of-the-art engineering, manufacturing, and sourcingfacility produces a wide array of intricate components to deliver trustednational security products and government services primarily for the NNSA.Honeywell FM&Ts culture of integrity, commitment and continuousimprovement enables them to deliver responsive, collaborative, and innovativemanagement and technology services and products that translate into cuttingedge solutions to complex national security issues.
**This position is in Kansas City, MO**
Primary Responsibilities:
- Lead and support moderate to highly complex data science andanalytics projects in support of process improvement, defect reduction, andpredictive analytics for manufacturing and business applications.
- Independently develop data science models or algorithmsusing disciplined software development processes, making recommendations fordeveloping new code or re-using existing code, implementing version control andmaintaining documentation of created applications.
- Work directly with customers and business partners todevelop requirements, and provide technical solutions through an analysis of manufacturing/businessneeds and pain points.
- Define and implement ingestion, data preparation, curation,and governance of large, multi-faceted data sets supporting analytics modelsand workflows.
- Contribute to the production of information products, supportingvisualization and data accessibility in a customer centric manner.
- Evaluate and make recommendations regarding technicaladvances that improve productivity and quality, reduce flow times, and enhanceoperational surety.
- Develop guidelines and standards for analytics and machinelearning models, their deployment, and associated processes.
- Conducts activities in a safe and healthy manner and worksin accordance with established HS&E requirements to ensure the protectionof employees, the public, and the environment.
- Takes actions necessary to stop work when an unsafecondition or action is identified. Every employee has the right andresponsibility to stop work when unsafe conditions or actions are identified.
You Must Have:
- BS in engineering from ABET accredited institution or Mastersdegree in data science or related field, or two years of relevant experience inlieu of a degree.
- Two or more years of relevant experience in data science orrelated technical activities.
- Demonstrated analytical skills, proficient with computersoftware applications, and the ability to produce and consume writtendocumentation.
We Value:
- Interest in an applied data science career in a technologyor manufacturing business.
- Must be an active listener with advanced verbal, written,and presentation skills for interacting with customers and peers.
- Has a user experience mindset with the ability toeffectively distill complex information: able to collect, interpret, organize,and present data.
- Experience developing data visualizations, preferably usingTableau, Power BI, MicroStrategy, or equivalent BI applications / solutions.
- Experience with programming languages (Python, R, SQL) /developing machine learning models, open-source frameworks, and analyticaltools.
- Has a working knowledge of statistics, statistical modeling,and SPC.
- Working knowledge of statistics, statistical modeling, andstatistical process control.
- Practiced using scripting and querying languages such asPython, R, SQL, and others.
- Effective communication skills (verbal, written, andpresentation) for interacting with customers and peers.
- Experience with machine learning, neural networks, and deeplearning.
FMT2021
