What are the responsibilities and job description for the Applications Development Analyst II 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.
If you require a reasonable accommodation to submit an application, please send an email to our Reasonable Accommodation Support Team at staffing@kcnsc.doe.gov.
To learn more about our benefits and culture follow the link below:
https://www.kcnsc.doe.gov/careers/benefits-culture/
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.
- Two or more years of direct work experience
- Bachelors degree, certification or two additional years of directwork experience in lieu of Bachelors degree or certification
- Ability to travel up to 10% of the time
- 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, if required for position, 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.
If you require a reasonable accommodation to submit an application, please send an email to our Reasonable Accommodation Support Team at staffing@kcnsc.doe.gov.
To learn more about our benefits and culture follow the link below:
https://www.kcnsc.doe.gov/careers/benefits-culture/
Additional Information
- Job ID: [[id]]
- Category: [[filter1]]
- Level of Experience: [[filter3]]
- Posting Location: [[filter6]] [[filter9]] [[filter8]], [[filter7]], [[filter10]]
- Remote Eligibility: [[filter4]]
- Travel Required: [[filter2]]
- Approved Work States: [[mfield2]]
- Hourly/Salary: [[hourlySalary]]
