Data Scientist II

Key Skills

Google-Analytics, Python Programming, SQL, Agile methodologies, Alteryx, Data Mining, QlikView, Tableau, D3.js, R Programming, Data Modelling, SAS, SPSS Statistics

Job Description

Join the industry leader to design the next generation of breakthroughs

Innovate to solve the world's most important challenges

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. With approximately 129,000 employees worldwide, including more than 19,000 engineers and scientists, Honeywell has an unrelenting focus on quality, delivery, value, and technology in everything they make and do. Honeywell has been named a Top 100 Global Innovator for seven years in a row, recognizing the company’s global reach of portfolio and invention influence.

In Kansas City, Honeywell Federal Manufacturing & Technologies (FM&T) manages and operates the U.S. Department of Energy/National Nuclear Security Administration’s (NNSA) Kansas City National Security Campus. This state-of-the-art engineering, manufacturing and sourcing facility produces a wide array of intricate components to deliver trusted national security products and government services primarily for the NNSA. Honeywell FM&T’s culture of integrity, commitment and continuous improvement enables them to deliver responsive, collaborative and innovative management and technology services and products that translate into cutting edge solutions to complex national security issues.

Summary

Lead moderately complex data science projects that require skill in a diverse array of data science applications. Responsible for problem analysis, customer interaction, solution design, front end and back-end integration, maintenance, and support of data science and analytics solutions.

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 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 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 guidelines and standards for analytics and machine learning models, their deployment, and associated processes
• Conducts activities in a safe and healthy manner and works in accordance with established HS&E requirements to ensure

You Must Have:

• BS in engineering from ABET accredited institution or Masters 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
• Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation

We Value:

• 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
• Interest in applied Data Science career in a technology or manufacturing business.
• Experience working with Hadoop, Hive, Apache Spark, etc
• Experience with machine learning, neural networks, deep learning