Data Scientist (12 Month Term)

Our Chalk River location is looking for a Data Scientist to support our Science and Technology Business Management Office. If you can see yourself in a role where you will provide AI/Machine learning expertise and data analytics support for research and development projects across multiple areas, such as nuclear safety and analysis, material research, nuclear forensics, and environmental monitoring, then apply today!

What will you be doing!

• Contributing to the application and development of data analytics methods across diverse areas.
  • Specific examples include statistical/machine learning methods for anomaly detection in nuclear data, evaluation of nuclear safety margins and their uncertainties, and time-series forecasting.
• Applying appropriate methodology when implementing studies, including processing data and performing statistical analysis, machine learning and/or computational modelling using software programs such as Python or R. Taking responsibility for the computational integrity and accuracy of the analysis.
• In collaboration with domain experts, developing new methods and technologies as an outcome of the research performed. learning and applying new machine learning methods, and writing and modifying computer programs in software such as R, MATLAB, Python, RAVEN, Dakota, etc.
• Interpreting and communicating results. Presenting on research will be delivered internally to CNL, at national and international venues/conferences, and to external customers. Work will be documented in internal CNL reports and published in peer reviewed journals.
• Contributing to the planning and execution of specific research tasks.
• Other duties as assigned by your manager.

What we are looking for:

• Education
  • At minimum, a Bachelors (Honour) in Engineering or Science such as Machine Learning, Computer Science, or Applied Statistics from a university of recognized standing; or membership in an engineering or scientific professional organization authorized by statute to establish qualification for membership in that organization. A few years related engineering working experience.
• Experience
  • Academic experience, such as thesis work, must be consistent with job requirements.
  • Relevant industry experience is an asset.
  • Experience with Unix.
  • Experience in using high-performance computing resources is preferred.
• Knowledge, Skills & Abilities
  • Proficient in building machine learning models, e.g. for anomaly detection, image analysis, time-series trend analysis, etc.
  • Strong knowledge and proficiency in Python and associated packages for data processing, statistics and machine learning.
  • Statistical skills including multivariate analysis, regression analysis, hypothesis testing, sampling theory and practice.
  • Familiarity with another programming language, such as SQL, Python, or an object-oriented language, is preferred.
  • Familiarity with parallelization techniques in the code is preferred.
• Security Clearance Eligibility Required
  • Reliability Status which has a minimum requirement of 3-5 years of verifiable history in Canada, Australia, New Zealand, the United States and/or the United Kingdom. CNL implements security screening in accordance with the Treasury Board of Canada Secretariat's "Standard on Security Screening" and the "Policy on Government Security."

Why CNL?
Does working with a team across Canada to advance nuclear science and technology for a clean and secure world speak to you? We're reinventing ourselves to be the pacesetters so we can lead the charge in solving the problems that matter, like building the next generation of clean nuclear and hydrogen energy solutions, developing new and better-targeted cancer treatments, and continuing to lead the world in environmental remediation.

We offer a complete total rewards package:

• Paid time off (vacation, sick, floater & personal);
• Benefits effective day one, that's right, no waiting period;
• Tuition support.
• and a pension!

Do Our Priorities Resonate with You?

• Clean energy for today and tomorrow.
• Restore and protect the Environment.
• Contribute to the health of Canadians.

Location:
CNL works with employees across Canada to enable a remote workforce where possible. This role requires occasional work at CNL's Chalk River Laboratory site, permitting the employee to primarily work remotely, should they so desire. CNL employees who choose to work remotely the majority of the time are provided with the equipment required to be successful at their remote workplace (laptop, chair, monitor, etc.); however, they are not provided a dedicated onsite office. CNL's Chalk River laboratory is nestled in the Ottawa Valley and affords our employees an area that is environmentally pristine with extensive forests, hills and numerous small lakes, all of which support a variety of wildlife typical to the southern edge of the Canadian Shield. Many surrounding towns, such as Pembroke, Petawawa and Deep River, provide you with unparalleled outdoor adventures at your doorstep!

CNL is committed to providing an atmosphere free from barriers that promotes equity, diversity and inclusion in achieving our mission. CNL welcomes and celebrates employees, stakeholders and partners of all racial, cultural, and ethnic identities. Read here further on our DE&I Commitment.

CNL also supports a workplace environment and a corporate culture that is built on our Core Values: Respect, Teamwork, Accountability, Safety, Integrity and Excellence which encourage equitable employment practices and career prospects inclusive of accommodations for all employees.

CNL is committed to being an equal-opportunity employer. If you require accommodation measures during any phase of the hiring process, please indicate via our ATS when applying. All information received in relation to accommodation requests will be kept confidential.

The Chalk River Laboratories site is located on the unceded and unsurrendered territory of the Algonquin Anishinaabe people. As an organization, CNL recognizes and appreciates their historic connection to this place. CNL also recognizes the contributions that First Nations, Métis, Inuit and other Indigenous Peoples have made, both in shaping and strengthening this community in particular, and this province and country as a whole.

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