Data Scientist I

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

Job Description

Duties and Responsibilities

• Develop 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.
• Work directly with customers and business partners to provide technical solutions through an analysis of manufacturing/business needs and pain points.
• Support the 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.
• May assist in development of guidelines and standards for analytics and machine learning models, their deployment, and associated governance processes. 
• Complete assignments with detailed instructions in the design and/or project management of new and current projects under technical guidance of higher level engineers or departmental management.
• Conducts activities in a safe and healthy manner and works in accordance with established HS&E requirements to ensure the protection of employees, the public, and the environment.  Takes actions necessary to 'stop' work when an unsafe condition or action is identified. Every employee has the right and responsibility to stop work when unsafe conditions or actions are identified.
   

You Must Have

• 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. 
• 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) 
   

We Value

• Previous relevant internship experience preferred. 
• Interest in applied Data Science career in a technology or manufacturing business.
• Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation.
• Basic understanding of statistics, statistical modeling, and statistical process control.
• Comfortable 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 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. 
• 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.
• This job description/job posting is not all inclusive and other duties may be assigned.

Honeywell FM&T 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. 

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.