Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
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  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Honeywell Data Scientist II in Kansas City, Missouri

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 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 Master's 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.

  • US citizenship with the ability to obtain and maintain DOE Q level security clearance.

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, preferrably 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.

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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