Honeywell Federal Manufacturing & Technologies (FM&T) is seeking to design, optimize, and maintain scalable data pipelines, machine learning infrastructure, and analytics systems to support process improvement, defect reduction, and predictive analytics for manufacturing and business applications at the Kansas City National Security Campus.
Requirements
- 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.
- Working knowledge of statistics, statistical modeling, and statistical process control.
- Practiced using scripting and querying languages such as Python, R, SQL, and others.
- Experience producing analytics data visualizations, preferably using Tableau, MicroStrategy, or equivalent.
- Experience working with Dataiku, Hadoop, Hive, Apache Spark, etc.
- Experience with machine learning, neural networks, deep learning.
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.
- Develop and implement machine learning models to inform business needs and decisions.
Other
- Ability to travel as determined by the needs of the business
- United States Citizenship, with the ability to obtain and maintain a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)
- 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 using open-source data analytics and machine learning tools along with other cloud-based platforms
