Junior Data Scientist

Boeing•Richmond, BC

1d•CA$69,000 - CA$123,000•Hybrid

About The Position

Boeing Vancouver is seeking a Junior Data Scientist to join their team. The position will be based from their Richmond, British Columbia office, and a hybrid work style is offered. As a Junior Data Scientist in Boeing's Digital Services team, you will drive innovation by leveraging foundational analytics to improve customer-facing software tools, products, and services. You will collaborate with cross-functional data science and software development teams to build and maintain operational solutions for the aviation and aerospace industry. Working closely with customers and product teams, you will gain a deep understanding of their challenges, priorities, and business needs. In this role, you will apply a variety of data science and analytics techniques, including NLP, MLOps, and optimization. You will contribute to a culture of curiosity, growth, and collective learning. This position requires a solid foundation in data science fundamentals and software development, with a strong focus on addressing customer needs. Data scientists at Boeing may support diverse products and domains, building varied expertise. For this role, successful candidates will bring problem-solving expertise and energy to structured and semi-structured text analysis, AI, and analytics to our digital aviation team. Assignments may include fine-tuning generative LLMs, logistic regression, MLOps pipeline management, multimodal/text data ingestion, and RAG/graph-RAG development and orchestration. Ideal candidates will have a strong interest and experience in Natural Language Processing technologies, including both discriminative and generative language model applications such as classifiers, clustering models, and conversational AI. Experience with developing agentic solutions, prompt engineering, and harness engineering is also desired. 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. They combine deep scientific thinking, mathematical prowess and analytics technology with creativity and detective work to uncover rare insights hidden within data. They harness practical knowledge of engineering, business, and aviation to build both internal and external, customer-facing solutions. Together, they deliver insights that change the world on the ground and in the air.

Requirements

2+ years’ experience working as part of an integrated data science development team.
Demonstrated experience in applied machine learning.
2+ years of experience with Python.
2+ years of experience with data querying.
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.

Nice To Haves

Domain knowledge of the aviation & aerospace industry.
Experience in one or more of the following technologies: Natural Language Processing
MLOps and CI/CD techniques and tools
Optimization
Large-scale data analysis technologies
Experience with Databricks.
Experience with Neo4j.
Experience in production data and modeling pipeline development.
Experience presenting to non-technical audiences.
Project management experience.
Expertise in Predictive Maintenance.

Responsibilities

Communicates effectively with customers, product owners, and other stakeholders to understand requirements, support development efforts, and share deliverables and results.
Works with cross-functional workstreams to help implement complex analytics solutions to meet business objectives.
Supports development and maintenance of production-level analytics tools for both internal use and customer-facing applications.
Assists in evaluation, validation, and continuous performance monitoring of supported applications, models, and analyses.
Champions a culture of quality, continuous learning, trust, and collaboration.