Kansas City National Security Campus
Data Scientist II
Kansas City National Security Campus, Kansas City, Missouri, United States, 64101
Data Scientist II
Join the industry leader to design the next generation of breakthroughs at the Kansas City National Security Campus.
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. Honeywell has been named a Top 100 Global Innovator for seven years in a row.
Summary As part of the Data Science and Analytics team, you will play a pivotal role in designing, optimizing, and maintaining scalable data pipelines, machine learning infrastructure, custom applications and high-performance analytics systems to drive data-based decisions.
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 that improve productivity and quality, reduce flow times, and enhance operational surety.
Strong analytical skills with experience with data mining and modeling.
Develop implement machine learning models to inform business needs and decisions.
Perform data processing and transformation to targeted audience.
You Must Have
BS in engineering from an 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 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 as 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
Working knowledge of statistics, statistical modeling, and statistical process control.
Practiced using scripting and querying 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 Dataiku, 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.
Job ID: 3325 Category: Engineering Level of Experience: Mid-Senior level Posting Location: Kansas City National Security Campus 14520 Botts Road Kansas City, MO, 64147 Remote Eligibility: Hybrid Travel Required: 0-10% Approved Work States: MO, KS Hourly/Salary: Salary
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, 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.
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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. Honeywell has been named a Top 100 Global Innovator for seven years in a row.
Summary As part of the Data Science and Analytics team, you will play a pivotal role in designing, optimizing, and maintaining scalable data pipelines, machine learning infrastructure, custom applications and high-performance analytics systems to drive data-based decisions.
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 that improve productivity and quality, reduce flow times, and enhance operational surety.
Strong analytical skills with experience with data mining and modeling.
Develop implement machine learning models to inform business needs and decisions.
Perform data processing and transformation to targeted audience.
You Must Have
BS in engineering from an 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 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 as 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
Working knowledge of statistics, statistical modeling, and statistical process control.
Practiced using scripting and querying 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 Dataiku, 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.
Job ID: 3325 Category: Engineering Level of Experience: Mid-Senior level Posting Location: Kansas City National Security Campus 14520 Botts Road Kansas City, MO, 64147 Remote Eligibility: Hybrid Travel Required: 0-10% Approved Work States: MO, KS Hourly/Salary: Salary
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, 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.
#J-18808-Ljbffr