Engineering Data Scientist (Entry-Level or Associate)
About The Position
The Boeing Customer Support Analytics team is looking to hire an Engineering Data Scientist (Entry-Level or Associate) in Seal Beach, California with knowledge in fields such as machine learning, statistics, data modeling, text analytics, and natural language processing. These skills will be used to solve challenging problems centered on internal engineering activity and in-service fleet performance. The resulting analytics work products will help cross-functional teams make data driven decisions that improve business results and increase customer satisfaction. Our teams are currently hiring for a broad range of experience levels including Engineering Data Scientist (Entry-Level or Associate).
Requirements
- Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
- Experience in data science, data analytics, data engineering, AI/ML, ETL.
- Experience in database management, programming, statistical modeling, or statistical analysis.
- Must satisfy the Company’s Conflict of Interest (COI) assessment process.
- Must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Nice To Haves
- Master's degree in data science, machine learning, applied statistics, mathematics, or other analytics oriented scientific field of study.
- Experience working with analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, Databricks, API, etc.
- Experience in commercial aviation business or engineering.
- Ability to adjust priorities to multiple demands and unanticipated events.
Responsibilities
- Modifies and analyzes standardized data sets using analytics techniques such as machine learning, statistical analysis, mathematical optimization and simulation; identifies modeling attributes and parameters; applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables.
- Investigates data characteristics, complexity, quality and meaning; develops visualizations and summarizations to define performance and identify trends, outliers and drivers.
- Prepares data for analysis, e.g. cleansing, conditioning, transforming, modeling, identifying new feature variables and handling multi-variate data.
- Identifies best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications.
- Performs standard procedures in evaluation and verification of correctness and performance of models and analysis.
- Supports determination of analysis requirements given business objectives.
- Supports determination of decision support needs, matches data to requirements and performance metrics to support analysis.
- Monitors production and deployment; prepares decision support visualizations and reports, algorithms, models, dashboards and/or tool.
Benefits
- health insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid and unpaid time away from work
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
