Data Scientist II

Honeywell • Kansas City, MO • 19h ago

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 advances that improve productivity and quality, reduce flow times, and enhance operational surety.

Strong analytical skills with experience with data mining and modeling.

Develop and 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 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)

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.

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.

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.

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