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 **Data Scientist** reporting to the Manager of Data Science & Analytics working out of the **Vancouver, 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. 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**:

- Participates in one or more cross-functional data science development teams supporting engineering, maintenance or flight operations of different programs
- Develops both ad hoc and production-level analytics tools using techniques such as:

- machine learning
- statistical analysis
- mathematical optimization
- simulation
- Communicates with customers to understand requirements and communicate deliverables/results
- Helps 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 eligible for authorization under the Canadian Controlled Goods Program
- Must be legally able to work in Canada
- 2+ years’ experience in Data Science
- Must be proficient in Python (special emphasis on Pandas, sklearn, tensorflow) and SQL
- Must have experience in formal collaborative development environment and version control (e.g., Gitlab)

**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

**Typical Education and Experience**:
Technical bachelor’s degree and typically 2 or more years’ related work experience or a Master’s degree or an equivalent combination of education and experience.

** To review the Canadian Controlled Goods and Public Service and Procurement Canada requirements please go to the following government pages below:
**Relocation**:
**Diversity & Inclusion Commitment**:
At **Boeing**, diversity, equity, and inclusion are enduring company values. We strive to live these values every day not only because it’s the right thing to do, but because our success depends on it. The company’s commitment to diversity and inclusion means providing a work environment for all employees that is welcoming, respectful and equitable, with opportunities for personal and professional development.

**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.