Data Scientist (Co-op Placement)

Location: Ottawa, Canada

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow’s possible.

For decades, Ottawa has been a global technology leader. Today, Canada’s capital holds one of the brightest and most diverse technological ecosystems in North America. Voted as Canada’s best place to live 2017 by Maclean’s, Ottawa offers a low cost of living with a high quality of life. The Thales Ottawa office has been a major supplier and long-term trusted partner to DND, enabling the Canadian Armed Forces and the Canadian Coast Guard to achieve mission success.

Ottawa, ON, (CAN), Hybrid

Thales requires a Co-Op student for the role of Data Scientist. As a Data Scientist, you will be involved in the data analytics and general data governance in support of innovation projects that contribute to naval platforms in-service support programs. As part of the Innovation Team, the you will help deliver value to the operational team quickly in an agile and incremental way. More specifically, you will work with business analysts and operational stakeholders to identify problems and find relevant data solutions. The type of solutions could range from implementing data pipelines, building domain-specific data schemas, building machine learning models, implement dashboards that help with decision making – while using modern development techniques and technologies.

• Support data initiatives such as Condition-Based Maintenance (CBM) of complex assets.
• Contribute to data governance initiative such as data landscape.
• Develop ETL/ELT pipelines.
• Develop data mappings and lineage.
• Develop data quality rules.
• Create AI models based on available data.

Minimum Qualifications

• 3rd or 4th year undergraduate student in software engineering, computer science or related field.
• Proven experience with data science techniques and toolsets such as Argo, dbt, Nifi, Jupyter Notebook.
• Experience with data modeling techniques and languages.
• Experience with scripting technologies such as Python, R.
• Knowledge of agile software engineering methodologies.

Why Join Us?

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Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) and/or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access including eligibility to the Canadian Controlled Goods Program and able to obtain a Canadian Enhanced Reliability security clearance.