Data Scientist

3 weeks ago

Richmond, Canada BOEING Full time

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** 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.

In particular, this **Data Scientist** role will fall under the Analytics & Integrated Solutions team. Depending on need and fit, this role will support one or more services in the flight operations domain.

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, product managers and other stakeholders to understand requirements, execute the analytics development efforts and communicate results and deliverables
- Deliver on data science tasks in one or more cross-functional development teams supporting both pathfinding and production software development
- Champion a culture of excellence, learning, trust, and collaboration

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

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

- 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
- 3+ years’ experience in Data Science
- 3+ years’ experience with Python
- 1+ years’ experience with SQL
- Must have experience writing code in a collaborative environment using Git

**Preferred Qualifications (Desired Skills/Experience)**:

- 5+ years’ experience in Data Science
- Domain knowledge of the aviation & aerospace industry
- Expertise in reinforcement learning, or explainable AI
- Expertise in one or more of the following technologies
- Deep learning tools (e.g. TensorFlow, PyTorch, Keras, MLlib)
- MLOps and CI/CD techniques and tools (e.g. GitLab CI, MLflow, TFX)
- Large-scale data analysis technologies (e.g., Spark, Databricks, Delta)
- Cloud technologies (e.g., Azure, Google Cloud)
- Experience in production data and modeling pipeline development
- Experience in production analytics services deployment
- Project management experience (Agile, Kanban) is an asset

**Education/Experience**

**(Experienced) LEVEL 3**

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+3 years' related work experience, 9 years' related work experience, etc.).

**(Senior) LEVEL 4**

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience, 13 years' related work experience, etc.).

**Relocation**:
**Additional Information**:
**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.

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