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Data Scientist

Xplore Inc

Ontario, CAremote countryPosted May 29, 2026

At a glance

Heads up

  • Criminal background check required

Why this role might suit you

The role offers hands‑on work on large‑scale network and customer data, using modern ML frameworks and cloud technologies, with opportunities to influence product strategy and see models deployed into production.

Skills

pythonsqlscikit-learntensorflowpytorchcloud-platformsdistributed-computingfeature-engineeringmodel-trainingmodel-validationperformance-tuningmodel-deploymentexploratory-data-analysistime-series-forecastingpredictive-modelingstatistical-analysis

About the role

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 every day 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.

This role is ideal for someone who is passionate about turning data into actionable insights, enjoys hands-on modeling, and wants to grow their expertise in a collaborative environment.

Key responsibilities include:

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

The ideal candidate will possess:

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.

Questions about this role

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