Vacancy caducado!
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 is in Kansas City, MOPrimary Responsibilities:
Lead and support moderate to highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications.
Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control and maintaining documentation of created applications.
Work directly with customers and business partners to develop requirements, and provide technical solutions through an analysis of manufacturing/business needs and pain points.
Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
Contribute to the production of information products, supporting visualization and data accessibility in a customer centric manner.
Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
Develop 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.
Two or more years of relevant experience in data science or related technical activities.
Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation.
We Value:
Interest in an applied data science career in a technology or 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 to effectively distill complex information: able to collect, interpret, organize, and present data.
Experience developing data visualizations, preferably using Tableau, Power BI, MicroStrategy, or equivalent BI applications / solutions.
Experience with programming languages (Python, R, SQL) / developing machine learning models, open-source frameworks, and analytical tools.
Has a working knowledge of statistics, statistical modeling, and SPC.
Working knowledge of statistics, statistical modeling, and statistical process control.
Practiced using scripting and querying languages such as Python, R, SQL, and others.
Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
Experience with machine learning, neural networks, and deep learning.
FMT2021Honeywell 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.
Vacancy caducado!