Data Scientist

Job Description
At Boeing, we innovate and collaborate to make the world a better place. 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 Data Scientist to join our 40-person integrated data science development team. The position will be based from our Richmond, British Columbia office, and a hybrid work style is offered.
As a Data Scientist in Boeing Digital Services, 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. You will contribute your data science expertise to cross-functional project teams to help develop, launch and maintain leading-edge aviation software solutions around the world.
In particular, this role will collaborate closely with the Digital Services consulting team to develop digital capabilities that support consulting engagements and product development.
Boeing Vancouver houses an eclectic group of passionate data scientists who help customers by making sense 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 data. We harness practical knowledge of engineering, business, and aviation to build both internal and external, customer-facing solutions. Together, we deliver insights that change the world on the ground and in the air.
Position Responsibilities:

• Communicate with customers, Boeing consultants, and other stakeholders to understand requirements, execute the analytics development efforts and communicate results and deliverables.
• Conduct thorough data exploration and analysis, collaborating closely with consulting teams to translate findings into actionable, data-driven insights.
• Deliver on data science tasks in one or more cross-functional development teams supporting both pathfinding and production software development.
• Consult in the selection and independently execute on the application of machine learning and analytical techniques, aligned with technical strategy set by Data Science Project Lead.
• Conduct evaluation, validation and continuous performance monitoring of supported applications, models and analysis.
• Develop both applied research and production-level analytics tools using techniques such as: Machine learning, Statistical analysis, Mathematical Optimization and Simulation
• Champion a culture of excellence, learning, trust, and collaboration

Basic Qualifications (Required Skills/Experience):

• 3+ years of experience in Data Science.
• 3+ years of experience with Python.
• 2+ years of experience with data querying (e.g. SQL).
• Must have experience writing code in a collaborative environment (e.g. using Git).
• Must be legally able to work in Canada.
• Individual must not pose a risk for safeguarding of controlled goods.
• Must be eligible to handle US export-controlled data.

Preferred Qualifications (Desired Skills/Experience):

• Domain knowledge of the aviation & aerospace industry.
• Experience in customer-facing data science roles supporting consulting engagements and driving actionable client insights.
• Expertise in one or more of the following technologies.
• Deep learning tools (e.g. TensorFlow, PyTorch, Keras, MLlib).
• Large-scale data analysis technologies (e.g. Spark, Databricks, Delta).
• Statistical modeling, time series analysis, survival analysis
• Expertise in one or more of the following technologies.
• MLOps and CI/CD techniques and tools (e.g. GitLab CI, MLflow, TFX).
• Cloud technologies (e.g., Azure, Google Cloud).
• Experience in production data and modeling pipeline development.
• Experience in production analytics services deployment.
• Experience presenting to non-technical audiences.
• Expertise in applied Natural Language Processing.
• Expertise in Predictive Maintenance.

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
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.
Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Salary pay range - $82,000.00 - $145,000.00 CAD
Applications for this position will be accepted until Apr. 11, 2026
Export Control Requirements:
This is not an Export Control position.
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
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; race, color, ethnicity, 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. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.