Experienced Data Scientist

Boeing • Seal Beach, CA

1d • Hybrid

About The Position

The Boeing Test and Evaluation (BT&E) Quality Team is looking for an Experienced Data Scientist to join our team in Seal Beach, CA; Seattle, WA; or Berkeley , MO . This role will partner closely with Quality personnel to support and enhance BT&E Quality directives, policies, procedures, and metrics to ensure effective deployment of program, contract, customer, regulatory, and international standard requirements. The ideal candidate brings a strong background in analytics solution development and the ability to apply data science techniques within a Quality Management Systems (QMS) environment. The role includes the development, implementation and maturing analytics solutions for a wide range of quality and operational applications. This includes connecting and integrating data sources, developing backend logic, and delivering user-ready visualization (e.g. Tableau). Some travel might be required 10%-20% of the time. This position allows telecommuting. The selected candidate will be required to perform some work onsite at one of the listed location options.

Requirements

• Bachelor of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science, engineering
• 2+ years of experience in data science or analytics
• 2+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
• 2+ years of experience in performing statistical analysis

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
• Good organizational, interpersonal, and problem-solving skills
• Ability to adjust priorities to multiple demands and unanticipated events
• Highly motivated and must work well in a team environment
• The ability to communicate effectively, both verbally and in writing
• 3+ years of experience leading or managing projects that involved cross-functional or cross-business unit teams
• Experience working with AS9100 and/or similar QMS standard and/or SMS

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 tools
• Analyzes process data, metrics, models and flows to identify root cause of problems
• Participates with stakeholders to develop potential preventive or corrective actions and implementation
• Conducts research, compiles and analyzes performance reports and process control statistics, to continuously improve process capability

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level