Senior Data Scientist

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 Vancouver is seeking a ­­­­­­­­­­­­­­Senior Data Scientist to join our team, and reporting to the Senior Manager of Data Science & Analytics (Tech Ops). The position will be based from our Richmond, British Columbia office, embedded our local, 40-person, integrated data science development team; however, a hybrid work style is offered, allowing the candidate to work both virtually and in the office.

As a Data Scientist in Boeing’s Analytics & Integrated Solutions group, you will empower Boeing’s customer-facing software tools, products and services with cutting-edge analytics technologies. You will apply machine learning, statistics, and other analytics techniques to the unique challenges of aviation and aerospace. Whether in software or consulting, you will bring your data science specialty to cross-functional project teams to help launch and maintain leading-edge operational solutions around the world.

In particular, this Senior Data Scientist role will support the development of Insight Accelerator, Boeing’s predictive maintenance and prognostics platform. Embedded within a large product development collaboration, this role will require strong software development understanding and expertise in feature engineering, time-series analysis, anomaly analysis and forecasting problems, as well as a strong customer focus.

Boeing Vancouver houses an eclectic group of passionate data scientists who help customers by making sense out of big, complex systems in the world of aviation. We combine deep scientific thinking, mathematical prowess and analytics technology with creativity and detective work to uncover rare insights hidden within the data. We harness practical knowledge of engineering, business, and aviation to build customer solutions. Together, we deliver the power of understanding to change the world above and on the ground.

Position Responsibilities:

• Communicates with customers, product owners and other stakeholders to understand requirements, steer development efforts and communicate deliverables/results

• Contributes data science expertise in one or more cross-functional development teams supporting pathfinding and software product development efforts in maintenance, engineering, or flight operations

• Provides technical leadership in machine learning and analytics, with a special emphasis on feature engineering and time-series analysis.

• Develops production-level analytics tools for internal and customer-facing applications

• Conducts evaluation, validation and continuous performance monitoring of supported applications, models and analyses

• Helps setup of data and modeling pipelines

• Champions culture of quality, learning, trust, and collaborative energy

This position is hybrid. This means that the selected candidate will be required to perform some work onsite in Richmond BC. 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 be legally able to work in Canada

• 5+ years’ experience in Data Science

• 3+ years’ experience in Python

• 1+ years’ experience with SQL

• Must have experience in formal collaborative development environment and version control (e.g., Gitlab)

• Must have prior experience in developing cloud-deployed applications (e.g., Google Cloud Platform)

• Individual must not pose a risk for safeguarding of controlled goods

Preferred Qualifications (Desired Skills/Experience):

• Domain knowledge in the aviation & aerospace industry is an asset

• Expertise in one of the following enabling technologies:

• Cloud technologies (e.g., Azure, Google Cloud, AWS)

• Large-scale data analysis technologies (e.g., Hadoop, Spark, Cassandra, Pig, Hive)

• Project management knowledge (PMBOK, Agile, Kanban) is an asset

• Experience in production-quality data and modeling pipeline development

• Experience in production-quality analytics services deployment

• Expertise in prognostics, anomaly detection, or predictive maintenance applications is an asset

• Expertise in applied Natural Language Processing is an asset

Education/Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master +5 years' related work experience, 9 years' related work experience, etc.).

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Additional Information:

This requisition is for a locally hired position in Canada. The employer is Boeing Canada.  Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.

Export Control Requirements: Not an export control position

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process.

Experience Level
Individual Contributor
Contingent Upon Program Award
No, this position is not contingent upon program award

Schedule
Full time