Guidehouse | Hiring | Data Systems Engineer/Scientist (Business Intelligence & Architecture) | Hazelwood, MO | United States | BigDataKB.com | 11 Oct 2022

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Job Location: Hazelwood, MO

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

BGS Total Quality is looking for a Data Systems Engineer/Scientist (Business Intelligence & Architecture) a to join their Core & International Quality (CIQ) team in Charleston, SC, Mesa, AZ, Seattle, WA or Hazelwood, MO . This position will focus on supporting the Boeing Global Services (BGS) business organization.

Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced and Senior Data Systems Engineers/Scientists (Business Intelligence & Architecture).

This position allows telecommuting. The selected candidate may be required to work onsite at one of the listed location options.

Position Responsibilities:
A leader, first and foremost.

Support the BGS Total Quality Vision & Strategy

Implementation of both PaaS (i.e. Data Lake, AI + ML capabilities) and SaaS Cloud solutions

Streamlining of BGS Total Quality Preferred Systems

Preferred Systems application dependency mapping

Dashboard creation via Tableau

Support the maturation of digital operations with digital proficiency

Digitize the method and analytics used to build existing reports and metrics (inclusive of identifying the manual and digital movement (Push & Pull) of data; Identify the hardware and software applications used; Identify opportunities for valued digital transformation)

Support the BGS Total Quality Digital Transformation

Support the BGS Total Quality Digital Transformation Plan identifying tasks and schedules

Support the identification of Business Intelligent software/applications

Support the development of machine learning models to create predictive indicators and support risk analysis and preventive actions

Participate in the DE (2CES) Quality IPT Bedrock Teams

Communicate DE (2CES) Quality IPT activities with BGS Total Quality Personnel

Identify and Engage BGS Total Quality on 2CES Quality IPT Bedrock Agile Teams

Actively participate and execute MOM, ERP and PLM Bedrock Team development and actions

Engage in all DE (2CES) Quality IPT Level activities.

Bridge BGS Total Quality Preferred Systems with 2CES System Solutions

Inventory, Monitor and Maintain BGS Quality IT Systems for Affordability & Efficiency.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications:
Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science, or other technical degree

Experience with these tools; PowerBI, Azure DevOps, SaaS, Data Integration tools – Azure Databricks & Data Factory

3+ years of experience with large data (“big data”) analytics (e.g. statistical inference, or machine learning)

Experience with the following tools and technologies: Hadoop, Spark, Kafka, Nifi, Relational SQL and NoSQL dat abases

3+ years’ experience in ETL (extract-transform-load)

3+ years of experience developing reports and insights utilizing reporting/data analytical/business intelligence tools such as Tableau, Spotfire, Power BI and Maximo

3+ years’ experience programming with Java, C++, Python, Scala, or Go

Experience in Python and/or R

Cloud provider experience (AWS/Azure / GCP)

3+ years of experience in Data Science

Preferred Qualifications:
5+ years of experience with large data (“big data”) analytics (e.g. statistical inference, or machine learning)

5+ years’ experience in ETL (extract-transform-load)

5+ years of experience developing reports and insights utilizing reporting/data analytical/business intelligence tools such as Tableau, Spotfire, Power BI and Maximo

5+ years’ experience programming with Java, C++, Python, Scala, or Go

5+ years of experience in Data Science

5+ years of Spark development experience; worked on big data projects (ie. MapR / Teradata; prior experience with Hadoop as well as traditional databases)

Hands-on design and development experience in Scala / R

Convert existing pandas/scikit-learn/R workloads over to Spark and SparkML

Experience in development of customizable NLP pipeline

Experience in chatbot sentiment analysis

MS Computer Science or Data Analytics / ML

Typical Education/Experience:
Associate (Level 2)

Technical bachelor’s degree and typically 2 or more years’ related work experience or a Master’s degree or an equivalent combination of education and experience.

Experienced (Level 3)

Technical bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study.

Senior (Level 4)

Technical bachelor’s degree and typically 9 or more years’ related work experience or a Master’s degree with typically 7 or more years’ or a PhD degree with typically 4 or more years’ related work experience or an equivalent combination of education and experience

Relocation:
This position offers relocation based on candidate eligibility.

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies .

Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.




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