Xplore Inc.

About the Company

For 20 years, Xplore has supported rural living by connecting and serving Canadians who live beyond the bigger city limits. We are continuing that legacy by using the newest technology to deliver quality high-speed Internet to rural communities. From the smallest village to growing towns and cities, from the condo to the cottage and the many spaces in between, Xplore is bringing fibre and 5G to rural life – so that more rural Canadians can connect without compromise. At Xplore, we’re all about putting our customers first. We get rural living. It’s our business – but it’s also in our blood. We’re headquartered in the small town of Woodstock, New Brunswick. Connect with us: Instagram: https://www.instagram.com/xplore__ca/ Twitter: https://twitter.com/xplore_ca Facebook: https://www.facebook.com/xplore.ca YouTube: https://www.youtube.com/c/xplore_ca Xplore est au service des gens qui ont choisi d'habiter hors des grands centres depuis 20 ans. À cet effet, nous utilisons les dernières avancées techniques pour offrir un accès Internet haute vitesse de première qualité à notre clientèle. Du plus petit village aux municipalités régionales en pleine croissance, du chalet en pleine nature jusqu'à la douillette copropriété, vous pouvez compter sur nous pour vous fournir un accès Internet 5G et par fibre optique à la hauteur de vos attentes. Nous connaissons bien les besoins de notre clientèle particulière, et nous sommes fiers de nos origines en région. D'ailleurs, notre siège social est toujours situé à Woodstock au Nouveau-Brunswick. Communiquez avec nous : Twitter.com/xplore_ca Facebook.com/xplore.ca Instagram.com/xplore__ca YouTube.com/xplore_ca

Listed Jobs

Company Name

Xplore Inc.

Job Title

Data Scientist

Job Description

Job Title: Data Scientist Role Summary: Apply advanced analytics and machine learning to build predictive models that drive customer retention, upsell opportunities, and network optimization for a broadband services company. Expectations: Deliver end‑to‑end data science solutions—data preparation, modeling, validation, deployment, and monitoring—while collaborating with marketing, sales, operations, care, and product teams. Communicate insights clearly to non‑technical stakeholders and stay abreast of emerging ML tools and techniques. Key Responsibilities: - Develop predictive and prescriptive models for churn/retention, upsell/cross‑sell scoring, and product coverage estimation. - Perform feature engineering, model training, validation, hyper‑parameter tuning, and performance evaluation. - Deploy models to production and monitor model drift and performance. - Conduct exploratory data analysis to uncover actionable business insights. - Document methodology, maintain reproducibility, and produce technical reports. - Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions. - Participate in A/B testing and experimentation where applicable. Required Skills: - 3–5+ years experience in applied data science or machine learning. - Proficiency in Python and ML frameworks (scikit‑learn, TensorFlow, PyTorch). - Advanced SQL skills and experience manipulating large datasets. - Expertise in predictive modeling, time‑series forecasting, and statistical analysis. - Familiarity with cloud platforms and distributed computing. - Strong problem‑solving, analytical, and communication abilities. - Experience with end‑to‑end project ownership including deployment. - Knowledge of A/B testing/experimentation frameworks (plus). Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field. ---

Markham, Canada

On site

21-12-2025