Entry Level Data Scientist Jobs in Quebec (NOW HIRING)

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Join BrainBox AI's Algorithm Team in Montreal and help build technology that makes commercial buildings smarter, more efficient, and more sustainable. As a Junior Software Engineer, you will work alongside experienced software developers, data scientists, and machine learning engineers to support the systems that power BrainBox AI's autonomous HVAC optimization platform. This is an excellent opportunity to grow your software engineering skills in a collaborative, innovative, and mission-driven environment while contributing to solutions with real-world environmental impact.

• Support the development and maintenance of backend services for the Algorithm Team's platform and tools.

• Contribute to building APIs and microservices using Python and FastAPI.

• Assist in implementing and improving data processing workflows using Kafka and related streaming technologies.

• Help develop and maintain cloud-based applications and services deployed on AWS.

• Support the design and maintenance of DynamoDB data models and other application data structures.

• Work with Docker to containerize applications and support consistent deployment practices.

• Collaborate with senior developers, data scientists, and cross-functional teammates to deliver technical solutions.

• Participate in code reviews, testing, debugging, and troubleshooting activities.

• Write clean, maintainable, and well-documented code following engineering best practices.

• Contribute to Agile team ceremonies such as sprint planning, stand-ups, and retrospectives.

• Learn and work with internal tools or frameworks such as Kiro as needed.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

• 0-3 years of software development experience, including internships, co-op terms, or entry-level professional experience.

• Foundational proficiency in Python for backend development.

• Exposure to API or microservice development, ideally with FastAPI or similar frameworks.

• Basic understanding of cloud platforms such as AWS.

• Familiarity with Docker and container-based development workflows.

• Exposure to NoSQL databases such as DynamoDB or similar technologies.

• Basic understanding of event-driven systems or messaging tools such as Kafka is an asset.

• Strong problem-solving skills and willingness to learn in a fast-paced technical environment.

• Ability to collaborate effectively with teammates and communicate clearly.

• Eagerness to learn new tools, systems, and engineering practices.

Annual Base Salary Range or Hourly Base Pay Range:

Compensation Type:

Incentive Eligible:

Sales Commission Eligible:

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

This posting is for an existing vacancy. The position is imminently available, and qualified candidates will be considered for immediate placement.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.