Data Scientist

1 month ago

Ottawa, Canada Equest Full time
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.

Position Summary

Ottawa, Hybrid

Thales is looking for a Data Scientist - AI/ML who will be involved in the data analytics and the development of AI/ML models in support of innovation projects that contribute to naval platforms in-service support programs.

As part of the Innovation Team, as a Data Scientist, 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 AI/ML models, implement dashboards that help with decision making - while using modern development techniques and technologies as well as operations practices.

Key Areas of Responsibilities
  • Lead data initiatives such as Condition-Based Maintenance (CBM) of complex assets, exploitation of unstructured technical data, etc.
  • Lead technical teams as required.
  • Design and train AI / machine learning models.
  • Deploy models in production.
  • Implement MLOps best practices.
  • Contribute to data governance initiative such as data landscape.
  • Contribute data mappings and lineage.
  • Contribute and validate data quality rules.
  • Contribute to the definition business cases that involve data exploitation.
Minimum Qualifications

  • Undergraduate degree in statistics, mathematics, computer science with specialization in AI/ML or related field.
  • 5+ years of experience with data science techniques and toolsets such as Jupyter Notebook, Dataiku.
  • 5+ years of experience with machine learning modeling techniques such as anomaly detection, natural language processing, classification.
  • 3+ years of experience with building end-to-end data pipelines from data ingestion to model value delivery.
  • Experience with scripting technologies such as Python, R.
  • Knowledge of agile software engineering methodologies.
  • Proven problem solving and analytic skills with a desire to learn.
  • Capable of developing strong relationships across the business through excellent customer service.
  • Ability to liaise with other AI/ML experts among the Thales Group and leverage their technical expertise.

If you're excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community

Special Position Requirements

Travel: Occasional travels to the East or West Coast

What We Offer?

Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following:

•Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program.

• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.

•Company paid holidays, vacation days, and paid sick leave.

•Voluntary Life, AD&D, Critical Illness, Long-Term Disability.

•Employee Discounts on home, auto, and gym membership.

Why Join Us?

Say HI and learn more about working at Thales click here .

#LI-Hyrbid

#LI-TI1

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.

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