Sr Data Scientist

at Kansas City National Security Campus in Overland Park, Kansas, United States

Job Description

The Sr Data Scientist leads highly complex problem analysis, customer interaction, solution design, front-end and back-end integration, maintenance, and support of data science and analytics solutions for manufacturing or business applications. This position is part of the Data Science and Analytics team responsible for a variety of complex, high level operations to support applications utilizing big data. Individual will lead complex data science projects that require skill in a diverse array of data science applications and play a key role in shaping system architecture to ensure application stability and scalability. A successful candidate will have a strong foundation in big data platforms, machine learning, and development processes.

• Lead and support moderate to highly complex data science projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications.
• Independently develops 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.
• Integrate sustainable business improvements for AI/ML using Hadoop Big Data environment. 
• Interfaces with multiple stakeholders and team members to improve predictability of business or manufacturing operations.  
• Collaborates with internal web application development team accessible throughout KCNSC to incorporate established models into stakeholder daily decision-making processes.
• 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 
• Stays current with relevant emerging technology to make recommendations on investment opportunities.
• Demonstrates project management skills, serving as project lead.
• Guides and produces information products, supporting visualization and data accessibility in a customer centric manner.

• At least five years relevant experience in data science or related technical activities. 
• BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, OR two additional years of relevant experience.
• 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, if required for position, a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations).

• Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions.
• Expert in using scripting and querying languages, such as Python, R, SQL, and others.
• Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation.
• Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
• Demonstrated application of statistics, statistical modeling, and statistical process control.
• Experience producing analytics data visualizations, preferably using Tableau, MicroStrategy, or equivalent.
• Demonstrated experience working with Hadoop, Hive, Apache Spark, etc. Demonstrated experience with machine learning, neural networks, and deep learning.

FMT2021

This job description/job posting is not all inclusive and other duties may be assigned.  

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.