Sr Data Scientist

Profile

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.

This position will be in Kansas City, MO

Summary:

A Sr. Data Scientist in AME will Lead highly complex or critical data science projects that require a diverse array of data science applications. They will be responsible for leading problem analysis, customer interaction, solution design, front end and back end integration, maintenance, and support of data science and analytics solutions in the areas of manufacturing constraint management and/or SMART factory implementation. Daily responsibilities include leading multiple, concurrent projects and/or supporting efforts of team members.

Duties and Responsibilities


Lead highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications

Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution

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 and governance of large, multi-faceted data sets supporting analytics models and workflows

Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation

Guide and produce 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

You Must Have:



BS in engineering from ABET accredited institution or Master's degree in data science or related field

Five or more years of relevant experience in data science or related technical activities

Expert using scripting and querying languages, such as Python, R, SQL, and others

Demonstrated experience in serving as a technical lead of moderately complex projects

Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation

We Value:



Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions

Demonstrated initiative staying current on industry practice outside of study and training

Effectively lead team interaction, including meetings and collaboration, to resolve issues

Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management

Proven mentoring ability to drive results and technical growth in peers

Effective communication skills (verbal, written, and presentation) for interacting with customers and peers

Demonstrated application of statistics, statistical modeling, and statistical process control

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

Demonstrated experience working with Hadoop, Hive, Apache Spark, etc

Demonstrated experience with machine learning, neural networks, deep learning

FMT2021


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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