Data Scientist (Senior or Lead)

USA - Berkeley, MO, United States

Boeing

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Data Scientist (Senior or Lead)

Company:

The Boeing Company

The 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 Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

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 award

Shift:

Shift 1 (United States of America)

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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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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

Region: North America
Country: United States

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