Engineering Data Scientist (Entry-Level or Associate)

Engineering Data Scientist (Entry-Level or Associate)

Company:

The Boeing Company

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.

Primary 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

Work Authorization:

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Seal Beach, California location.

Basic Qualifications (Required Skills/ Experience):

• 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

Preferred Qualifications (Desired Skills/Experience):

• 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

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Drug Free Workplace:

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.

Union:

This is not a union-represented position.

Pay and 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 can