Data Scientist

Canfor; Vancouver; On-site; CAD 88,000 - 111,000; Full time

Job summary

A leading company in Vancouver is seeking an early-career Data Scientist to join their Enterprise Analytics team. This role involves working independently on data-driven projects that enhance business processes and strategic decision-making. Responsibilities include data analysis, model development, and collaboration with various teams. The ideal candidate will have a degree in a quantitative field and strong Python skills, with familiarity in Azure being a plus. Canfor offers a competitive salary and benefits package.

Benefits

Performance-based incentive plans

Recognition programs

Comprehensive benefits

Pension plans

Health & well-being initiatives

Qualifications

• Exceptional co-op candidates in their final year of study will be considered.

Responsibilities

• Evaluation and prioritization of project proposals.
• Collaborating with business partners and development of project objectives.
• Exploratory data analysis of internal datasets.

Skills

Python

Education

Degree in a quantitative field

Tools

Azure

Microsoft Fabric

Job description

Canfor Vancouver, British Columbia, Canada

Canfor Vancouver, British Columbia, Canada

The Opportunity:Posting ID: 28144 Position Type: Regular City: Vancouver, BC, Canada Location: Vancouver H/O - Canfor/CWPM_1000

We are seeking to add an early-career Data Scientist to our Enterprise Analytics team. The successful candidate will be dynamic, self-motivated, and committed to remaining current in the field You will work with great independence in a small, interdisciplinary team passionate about driving business value.

As a Data Scientist in our Enterprise Analytics team, you will interface across the company exploring data, automating and enhancing business processes,, and conducting research informing Canfor’s strategic direction. You will develop, evaluate, and operationalize models in all areas of the business, including forecasting product demand, optimizing inventory targets, improving maintenance scheduling, and many other applications.

A day in the life of a Data Scientist, Enterprise Analytics may include:

• Evaluation and prioritization of project proposals
• Collaborating with business partners and development of project objectives
• Exploratory data analysis of internal datasets and survey of external or public data
• Feature selection and engineering
• Model selection, development, and evaluation
• Model interpretation and review with domain experts
• Interfacing with Data Analysts and Data Engineers for productionization, data visualization, and ongoing support
  
  

For this role, you'll come equipped with:

• A degree in a quantitative field such as Mathematics, Statistics, or Computer Science (Exceptional co-op candidates in their final year of study will be considered)
• Strong proficiency in Python programming, including the writing of maintainable production code, the use of version control systems, and familiarity with data analysis and machine learning libraries
• Familiarity with Azure and Microsoft Fabric is a significant asset
• Knowledge of economics, commodity markets, or the forestry industry is an asset
  
  

The salary range for this position is: $88,500.00-$110,500.00

Please Note: The range provided is for base salary only. In addition to base salary, Canfor proudly offers its employees a comprehensive and competitive total rewards package. It features programs such as performance-based incentive plans, recognition programs, benefits, paid leaves, pension plans with base and matching contributions, savings options and robust health & well-being initiatives. We also continually invest in the development of our talent to help them thrive professionally and personally. Above all, we are proud to offer our employees a value proposition that promotes diversity, equity and inclusion and fosters an environment where talent and performance is recognized and rewarded.

Don't check off every single bullet point? At Canfor, we prioritize the right fit for our organization over a strict checklist of criteria. We encourage applications from individuals whose backgrounds may not perfectly align.

Our people-focused approach prioritizes safety, embraces diversity, valuing everyone’s unique qualities. We believe that inclusion and diversity are crucial for our productivity, creativity, innovation, and competitive edge. Our recruitment process is fair and equitable, based on qualifications and experience.

We appreciate all candidates' interest but will contact only those selected for interviews. Our hiring for various positions is ongoing and includes different screening processes such as behavioral assessments, references, and criminal record checks, depending on the role and location. #CADS

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