Data Scientist (Senior or Lead)
USA - Berkeley, MO, United States
Full Time Senior-level / Expert Clearance required USD 135K - 224K
Boeing
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The Boeing CompanyThe Boeing Company is looking for a Data Scientist to join our team in either Berkeley, MO or Seattle, WA. This position supports the enterprise Design/Build Systems & Tools team, working across the enterprise for Boeing Test & Evaluation (BT&E). The successful candidate will join a geographically dispersed and multidisciplinary infrastructure team that is responsible for developing and supporting engineering products used by design, manufacturing, and industrial engineers, as well as technicians and mechanics who support the BT&E test labs.
This role requires the analysis of internal and external data across a broad array of systems that are integrated into multiple data warehouses. The applicant will be expected to develop both predictive and prescriptive analytics for teams supporting both lab test and flight test teams. They will be collaborating with Data Solutions Architects, Systems Design & Integration Specialists, Systems Engineers, Business Intelligence Analysts, and Software Application Developers to support a software and analytics suite that integrates Boeing AI/ML tools into engineering and business systems in novel ways.
The ideal candidate will help with the architecture of the overall vision planning and road-mapping activities for the Design/Build data science solutions as well as designing and implementing the systems, tools, and processes necessary to support enterprise functional excellence strategies.
Our teams are currently hiring for a broad range of experience levels including Senior and Lead level Data Scientists.
Position Responsibilities:
Develops integrated roadmaps for analytics capability development leveraging internal and external resources
Determines strategies for the progression of analytics to align with business focus and priorities
Leads cross-functional teams that determine, define and deploy highly complex predictive/prescriptive analytic solutions to meet business goals
Evaluates business objectives, determines stakeholder needs and identifies requirements
Chooses best fit methods, defines algorithms, validates and deploys models to achieve business results
Performs necessary data preparation and enhancements to models
Creates and develops new methodologies to address unmet analysis needs
Develops the end-to-end data feed from source systems to a data warehouse for descriptive, predictive, and statistical analysis.
Supports data governance, data mapping, and data dictionary for Design/Build
Translates customer requirements into data science solutions and AI integration
Creates data visualizations to meet customer requirements
Supports the Systems Vision Plan and Roadmap for Design/Build organization
Develops a working knowledge of core systems such as GOLD, VSVT, OWB, CMES, MESci, & BLIS
Coordinates with business partners to understand their engineering and operations requirements
Works with the Systems & Tools team to integrate new data science methodologies into existing and new applications
Trains users on how to utilize new data science tools
Develops strategies for integrating legacy systems into next generation systems with AI integration
Supports major projects by defining the work scope, estimated cost, and scheduling through the performance of risk analysis using project management tools
Technical Skills
Expert with SQL (complex stored procedures, views, CTE’s)
Expert with ETL Platforms such as SSIS, AWS Glue, Data Factory, Dataflow, Informatica, Hadoop
Expert developing/implementing new processes across an organization
Expert using Data Science to develop practical data models
Experience integrating predictive analytics into business processes
Experienced with Data Visualization platforms such as Tableau, PowerBI, Qlik, Excel, Google Charts
Experience with calling Restful APIs in multiple object-oriented languages
Experience with supporting data governance, data dictionaries, and data mappings
Experienced leveraging AI APIs for data and predictive analysis
Experience building relationships with internal/external customers
Experience working with end users for gathering and document requirements
Experience with Agile methodology (and Git/ADO/Jira)
Experience with Microsoft 365 Suite of Apps
Basic Qualifications (Required Skills/Experience):
Bachelor of Science degree from an accredited course of study in engineering, engineering technology, chemistry, physics, mathematics, data science, or computer science
Preferred Qualifications (Desired Skills/Experience):
Level 5: 10 or more years’ related work experience or an equivalent combination of education and experience
Drug Free Workplace:
Boeing is a Drug Free Workplace (DFW) 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.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary Pay Range for Senior level (Level 4): $135,150 – $195,500
Summary Pay Range for Lead level (Level 5): $154,700 – $224,250
Language Requirements:
Not ApplicableEducation:
Bachelor's Degree or EquivalentRelocation:
This position offers relocation based on candidate eligibility.Export Control Requirement:
This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.Safety Sensitive:
This is not a Safety Sensitive Position.Security Clearance:
This position does not require a Security Clearance.Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.Contingent Upon Award Program
This position is not contingent upon program awardShift:
Shift 1 (United States of America)Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
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.
Boeing Participates in E – Verify
Right to Work Statement
Tags: Agile APIs Architecture AWS AWS Glue Business Intelligence Chemistry Computer Science Dataflow Data governance Data visualization Data warehouse Engineering ETL Excel Git Hadoop Industrial Informatica Jira Machine Learning Mathematics Physics Power BI Privacy Qlik R Security SQL SSIS Statistics Tableau Testing
Perks/benefits: Competitive pay Flex hours Health care Insurance Relocation support Team events
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