Senior Data Scientist
At a glance
Senior Data Science role at J.D. Irving. Saint John · full-time · no salary stated · we estimate CA$123,250–CA$165,550 across Canada.
J.D. Irving has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Find and assess analytics opportunities with business stakeholders, including the expected return and the case for change
- Lead analytics initiatives from framing the problem through delivery, recommending solution designs for your domain
- Gather and model data, then use exploratory analysis and feature engineering to prepare it for analytical work
- Choose, train, test, deploy and maintain models, and build data products that automate or improve processes
- Coach less experienced data scientists as they deliver value through data science
What you bring
- A university degree or college diploma in information technology or a related area
- At least five years applying statistical analysis, machine learning, forecasting, optimization or similar methods to business problems
- Advanced Python, SQL and machine learning framework skills, with experience putting scalable analytical solutions into production
- Experience leading complex analytics work and partnering with senior stakeholders to shape solutions and inform decisions
Who this fits
This role suits a senior data scientist who can lead analytical work end to end, advise business stakeholders and mentor less experienced colleagues. You must have lived in Canada for at least five years to meet the stated security requirements.
From the employer
The Senior Data Scientist is a collaborative member of the Analytics team who creates value from data. They’re focused on identifying opportunities to drive value through advanced analytics, lead stakeholder engagements to assess analytical opportunities, and ensure value is delivered. Their technical accountabilities include the proactive retrieval of information from various sources and analysis to better understand business performance. The Senior Data Scientist builds data products that automate or optimize processes within the company, leading to improved business outcomes.
Security Requirements:
Successful applicants must have resided in Canada for a minimum of five (5) years to meet the requirements of the Canadian Controlled Goods Program (CGP), Canadian Government security clearances, and U.S. International Traffic in Arms Regulations (ITAR).
- Framing of analytics problems to drive value
- Assessment of opportunity ROI
- Developing the case for change
- Leading initiatives end to end
- Data Discovery, Sourcing and modeling
- Exploratory data analysis and feature engineering
- Algorithm selection, training, testing, and deployment
- Model deployment and maintenance
- Coach and mentor less experienced data scientists in the delivery of value through data science
- Responsible to provide solution recommendations/designs for their domain.
- University degree or college diploma related to Information Technology.
- 5+ years of experience applying statistical analysis, machine learning, forecasting, optimization, or related analytical techniques to solve business problems and deliver measurable outcomes.
- Expert-level proficiency in Python, SQL, and machine learning frameworks, with demonstrated experience designing scalable analytical solutions and deploying models into production environments.
- Experience leading complex analytical initiatives, establishing best practices, and guiding model development, monitoring, governance, and continuous improvement activities.
- Demonstrated ability to partner with senior business stakeholders to identify opportunities, translate business requirements into analytical solutions, and influence strategic decisions through data-driven insights.
- Experience with cloud-based AI platforms, MLOps, Generative AI, LLMs, Agentic AI, Azure AI services, or enterprise-scale AI architecture is strongly preferred.
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