What are the responsibilities and job description for the Data Scientist II - Advanced Manufacturing position at Kansas City National Security Campus?
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.
Summary
Contribute your expertise in data science to support KCNSC’s national security mission. Responsible for leveraging advanced analytics and machine learning techniques to extract meaningful insights from large datasets. Collaborate with cross functional teams to develop solutions which address business needs.
Duties and Responsibilities
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.
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If you require a reasonable accommodation to submit an application, please send an
Additional Information
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.
Summary
Contribute your expertise in data science to support KCNSC’s national security mission. Responsible for leveraging advanced analytics and machine learning techniques to extract meaningful insights from large datasets. Collaborate with cross functional teams to develop solutions which address business needs.
Duties and 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 solutions 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 and communicate directly with key stakeholders 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.
- Strong analytical skills with experience with data mining and modeling.
- Develop and implement machine learning models to inform business needs and decisions.
- Perform data processing and transformation to targeted audience.
- BS in engineering from ABET accredited institution or Bachelor of Science 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.
- Ability to travel as determined by the needs of the business
- Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business
- Regular and reliable attendance is an essential function of this job
- United States Citizenship
- Ability to obtain and maintain a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)
- 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.
- 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.
- Experience working with Hadoop, Hive, Apache Spark, etc.
- Experience with machine learning, neural networks, deep learning.
- Experience using open-source data analytics and machine learning tools along with other cloud-based platforms.
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.
#FMT2021
If you require a reasonable accommodation to submit an application, please send an
Additional Information
- Job ID: 3517
- Category: Engineering
- Level of Experience: Experienced Professional
- Posting Location: Kansas City National Security Campus 14520 Botts Road Kansas City, MO, 64147
- Remote Eligibility: On-Site
- Travel Required: 0-10%
- Approved Work States: MO; KS
- Hourly/Salary: Salary
- Hiring Manager: Jody Gardiner
- Division: E00
- Department: E00
