Data Scientist

Xplore Inc.; Markham; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading broadband company in Canada is seeking a Data Scientist to develop and deploy data-driven solutions for business growth and operational efficiency. The ideal candidate will have 3–5 years of experience in data science and proficiency in Python and machine learning frameworks. Responsibilities include predictive modeling, collaborating with teams to inform decisions, and staying current with emerging tools. This position is subject to a Criminal Background Check and offers an accessible environment for applicants.

Qualifications

• 3–5+ years of experience in applied data science or machine learning.
• Hands-on experience with predictive modeling, time-series forecasting, and statistical analysis.
• Experience with cloud platforms and distributed computing.

Responsibilities

• Develop predictive and prescriptive models for customer churn and retention.
• Support model deployment and monitoring.
• Collaborate with cross-functional teams to translate business requirements into solutions.

Skills

Predictive modeling

Time-series forecasting

Statistical analysis

Python

Machine Learning frameworks

SQL

Problem-solving skills

Analytical skills

Communication skills

Education

Bachelor’s or Master’s in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world‑class fibre optic and 5G wireless network to enable innovative broadband services for better everyday rural living, for today and future generations.

As a Data Scientist at Xplore, you will play a key role in developing and deploying data‑driven solutions that support business growth, customer retention, and operational efficiency. You will work on impactful projects such as churn prediction, upsell targeting, and network optimization, applying advanced analytics and machine learning techniques to solve real‑world problems.

Key Responsibilities

• Develop and implement predictive and prescriptive models like:
• Customer churn and retention strategies
• Upsell and cross‑sell opportunity scoring
• Product coverage estimation and optimization
• Perform feature engineering, model training, validation, performance tuning, and deployment using advanced ML techniques
• Collaborate with cross‑functional teams (marketing, sales, operations, care, product) to translate business requirements into data science solutions
• Support model deployment and monitoring in production environments
• Conduct exploratory data analysis and provide insights to inform business decisions
• Document methodologies and ensure reproducibility of work
• Stay current with emerging tools and techniques in machine learning and analytics

Ideal Candidate

• 3–5+ years of experience in applied data science or machine learning
• Hands‑on experience with predictive modeling, time‑series forecasting, and statistical analysis
• Proficiency in Python and ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch)
• Extensive experience with SQL and data manipulation in large datasets
• Experience with cloud platforms and distributed computing
• Strong problem‑solving and analytical skills
• Ability to communicate technical concepts to non‑technical stakeholders
• Familiarity with A/B testing and experimentation frameworks is a plus
• Experience with end‑to‑end project ownership including deployment is an asset
• Bachelor’s or Master’s in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering)

Condition Of Employment

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.