Data Scientist (Senior or Lead)

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 Qualificat