Experienced 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.

In particular, the Data Scientist will fall under the Advanced Technology Development within Boeing’s greater Software Development & Analytics team. Depending on need and fit, this role will support one or more digital aviation services in flight operations, safety and/or prognostics.

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**:

- Determines, defines and deploys predictive/prescriptive analytic solutions to meet business objectives.
- Chooses best fit methods, defines algorithms, validates and deploys models to achieve business results.
- Performs necessary data preparation and enhancements to models.

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

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

- Must be legally able to work in Canada
- 2+ years’ experience in Data Science
- 2+ years’ experience in Python
- 2+ years’ experience with 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
- Expertise in applied Natural Language Processing is an asset

**Education/Experience**:
Technical bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree, or greater, in a mathematic, scientific or information technology field of study.

**Relocation**:
**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.