Principal Data Scientist

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 **Principal Data Scientist** reporting to the Manager of Data Science & Analytics working out of the **Richmond, BC** office.

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. Together, we deliver the power of understanding to change the world above and on the ground. We need you to help us develop a next-generation set of predictive maintenance capabilities to transform the world of aviation.

In particular, the Principal Data Scientist will serve as a strategic and technical lead for a 30+ team of data professionals in Advanced Technology Development, with a focus on developing new broad capability and service offerings in the predictive maintenance space. Building on our existing strengths and infrastructure, you will help organize the technical vision for a data science team mandated to build analytics

**Position Responsibilities**:

- Communicates with customers, product owners and other stakeholders to understand requirements, steer development efforts and communicate deliverables/results
- Leads cross-functional teams that determine, define and deploy highly complex predictive/prescriptive analytic solutions to meet business goals.
- Provides technical leadership in machine learning and analytics, with a special emphasis on ML Ops and cloud-deployed data services
- Communicates with customers to understand requirements and communicate deliverables/results
- Leads setup of data and modeling pipelines
- Champions culture of quality, learning, trust, and collaborative energy

**Employer will not sponsor applicants for employment visa status.**

**Basic Qualifications (Required Skills/Experience)**:

- Must be legally able to work in Canada
- Must be willing and eligible to work on government and defense-related programs
- Must consent to Canadian Government Controlled Goods Program (CGP) assessment
- Individual must not pose a risk for safeguarding of controlled goods
- 7+ years’ experience in Data Science
- Must be proficient in Python
- Must be proficient in applied Machine Learning, MLOps
- Must have post-secondary education

**Preferred Qualifications (Education/Experience)**:

- Should have experience in formal collaborative development environments and version control (e.g., Gitlab)
- Should have prior experience in production-quality software development
- Project management knowledge (PMBOK, Agile, Kanban) is preferred
- Prior experience in applied industrial data science: predictive maintenance or reliability modeling is preferred
- Prior experience in natural language processing is preferred
- Prior experience in time-series analysis is preferred
- Expertise in large-scale data analysis technologies (e.g., Hadoop, Spark, Cassandra, Pig, Hive) is preferred

**Typical Education and Experience**:
Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+9 years' related work experience, Master +12 years' related work experience, 18 years' related work experience, etc.)

To review the Canadian Controlled Goods and Public Service and Procurement Canada requirements please go to the following government pages below:
**Relocation**:
**Equal Opportunity Employer**:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.