Data Scientist II

Kansas City National Security Campus•Kansas City, MO

1d•Hybrid

About The Position

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.

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.
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)

Nice To Haves

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.

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.
Perform data processing and transformation to targeted audience.