Mid-Career Engineering Data Scientist

Key Skills

Azure, Cloud computing, Data Analytics, Data management, Data science techniques, Effective communication skills, English Proficiency, Git, Google Cloud Platform (GCP), Machine learning techniques, NoSQL, Python Programming, QlikView, R Programming, SQL, Statistical modeling, Tableau, TensorFlow, Teradata

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Brazil Engineering is seeking for a Mid-Career Engineering Data Scientist reporting directly to the Data Analytics Manager of Boeing Brazil in São José dos Campos. The candidate will work together with cross-functional teams to determine, define, and deploy data analytics to meet business objectives, investigate and apply best fit methods and algorithms, validate results, and perform necessary data preparation and enhancements to models.

The candidate must have knowledge in fields such as machine learning techniques, text analytics, advanced statistics and artificial intelligence. The candidate will need experience developing end-to-end analytics solutions. These skills will be used to solve challenging problems centered on engineering production data and a predictive value stream.

Position Responsibilities:

• Modifies and analyzes complex 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. Through visualizations and summarizations, defines performance, identifies trends, outliers, and drivers
• Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data
• Identifies or leads teammates in determining best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications
• Performs procedures in evaluation and validation of correctness of complex models and end-to-end deployment solutions. Leads evaluation and validation of team’s execution of models and analysis
• Develops analysis requirements given standard to complex business objectives; determining decision support needs, data and performance requirements, and fit-for-purpose solutions
• Monitors production and deployment with client teams. Determines decision support visualizations and reports, algorithms, models, dashboard, and tool documentation and training requirements

This position is hybrid/telecommuting. This means that the selected candidate will be required to perform work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.

Employer will not sponsor applicants for employment visa status

Basic Qualifications (Required Skills/Experience):

• Must have existing rights to work in Brazil
• Must have a Bachelor degree in Engineering
• Must be registered or eligible to register with the Engineering and Agronomy Regional Council (Conselho Regional de Engenharia e Agronomia – CREA)
• Proficient in both verbal and written communications skills in the English Language
• Experience in data science or analytics
• Experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
• Experience in performing statistical analysis

Preferred Qualifications (Desired Skills/Experience):

• 5 or more years’ related work experience or an equivalent combination of education and experience
• Experience working with analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, etc
• Experience in commercial aviation business or engineering

Relocation:

This position offers relocation based on candidate eligibility. 

Additional Information:

This requisition is for a locally hired position in Brazil. Candidates must have current legal authorization to live and work in Brazil. Benefits and pay are determined at the local level and are not part of Boeing U.S. based payroll.

This requisition is for a locally hired position in Brazil. Benefits and pay are determined at the local level and are not part of Boeing U.S. based payroll.

Please also submit a CV or resume written in English.