Senior Data Scientist

Xplore Inc.; Woodstock; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading broadband technology company in Canada is seeking a Senior Data Scientist to lead modeling initiatives that drive business outcomes and support revenue growth. The ideal candidate will have 5-7+ years of experience in applied data science and machine learning, with strong capabilities in statistical modeling and A/B testing. Responsibilities include mentoring junior staff, collaborating across teams, and ensuring data ethics and governance. This role offers the chance to impact customer retention and operational efficiency in a fast-growing technology environment.

Qualifications

• 5–7+ years of experience in data science/machine learning.
• Strong foundation in statistical modeling and causal inference.
• Experience in A/B testing and optimization of customer engagement.
• Proficiency in Python and MLOps practices.
• Familiarity with customer data protection and ethical AI.

Responsibilities

• Lead complex modeling projects for churn reduction and upselling.
• Collaborate with teams to translate business needs into solutions.
• Mentor junior data scientists and promote best practices.
• Oversee model deployment and governance around data ethics.

Skills

Statistical modeling

Causal inference

Time-series forecasting

A/B testing

Python

Advanced ML frameworks

MLOps practices

Communication skills

Leadership

Education

Master’s or PhD in a related field

Tools

Salesforce

Job description

As a Senior Data Scientist at Xplore, you will drive measurable business outcomes by leading advanced modeling initiatives that directly support revenue growth, customer retention, and operational efficiency. Your work will enable smarter decision‑making across the organization, powering strategies for churn reduction, upsell targeting, and network optimization. Beyond technical leadership, you’ll help shape the data science roadmap to align with high‑priority business goals, mentor emerging talent, and deliver insights that translate into real commercial impact.

Key Responsibilities

• Lead complex modeling projects across technical and commercial domains, like:
• Churn propensity modeling and retention strategy design
• Upsell and cross‑sell opportunity scoring
• Product coverage estimation and e‑coverage optimization
• Network infrastructure investment optimization & anomaly detection
• Define modeling strategies and select appropriate algorithms (e.g., deep learning, time‑series, probabilistic models, causal inference modeling).
• Evaluate trade‑offs: accuracy vs latency vs interpretability; cost vs benefit; model maintenance and scalability.
• Collaborate with cross‑functional teams: sales, marketing, product, operations, care, and network, to translate business needs into data science solutions driving measurable value.
• Own and oversee model deployment, monitoring, drift detection, and retraining pipelines.
• Ensure governance around data ethics, fairness, and privacy. Especially with customer data, usage logs, and location data.
• Mentor junior/intermediate data scientists; conduct code reviews and promote best practices (reproducibility, testing, documentation).
• Provide actionable insights to support executive decision‑making and quantify business impact (e.g., revenue uplift, churn reduction, campaign ROI).

The Ideal Candidate

• 5–7+ years of experience in applied data science / machine learning, ideally with exposure to sales and marketing domains.
• Strong foundation in statistical modeling, causal inference, time‑series forecasting, and uplift modeling to support customer insights and campaign effectiveness.
• Experience with A/B testing and experimentation frameworks to evaluate campaign effectiveness and optimize customer engagement strategies.
• Experience with large‑scale modeling and distributed computing in cloud environments.
• Proficiency in Python, advanced ML frameworks, and MLOps practices.
• Experience with customer data protection, privacy regulations, and ethical AI principles.
• Familiarity with marketing platforms or CRM systems (e.g., Salesforce) to support targeted outreach, segmentation, and lifecycle analytics.
• Proven track record of delivering measurable business impact (e.g., improved retention, increased ARPU, optimized campaign performance).
• Excellent communication skills, including with non‑technical stakeholders; strong leadership and mentoring capabilities.
• Master’s or PhD preferred, but not required with strong experience.

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.

Company Overview

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.