Principal Data Scientist

Rogers Communications•Brampton, ON

1d•Onsite

About The Position

Our Technology team wakes up every day with one goal in mind - connecting Canadians to the people and things that matter most. Together, we are proud to support 30 million Canadians each month through managing a robust portfolio that champions leading-edge technology. We drive large-scale, complex, and high-visibility technology projects and programs that shape the future of technology in Canada and expand connectivity from coast to coast. If you are interested in being a part of this, consider applying for the following opportunity: Who we are looking for: Are you passionate about using data science, AI, and wireless network expertise to solve complex, real-world challenges? As a Principal Data Scientist, you will lead the design and delivery of advanced analytics and AI/ML solutions that improve wireless network planning, performance, automation, reliability, and customer experience. This is a senior technical leadership role for someone who can combine hands-on modelling expertise, deep RAN knowledge, cloud-scale data architecture, and strong cross-functional influence to help shape the future of intelligent wireless networks.

Requirements

A degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Data Science, or a related field.
Strong understanding of wireless technologies, 3GPP standards, RAN architecture.
Deep familiarity with Ericsson RAN products and platforms, including Ericsson Radio System, Remote Radio Units, Massive MIMO AIR products, RAN Compute architecture, Ericsson Network Manager, and intelligent automation solutions.
Experience in wireless network planning, RAN engineering, network operations, and performance optimization.
7+ years of experience as an application, data, or system architect, including experience establishing big data standards on Azure, AWS, or GCP platforms.
5+ years of experience in predictive modelling, data science, machine learning, algorithmic solution design, predictive tools, and relational databases, preferably in telecommunications or networking.
3+ years of experience with related or complementary open-source platforms and languages, such as Python, R, Java, Unix, Linux, Apache, JavaScript, TypeScript, or C#.
Experience with relational database technologies, including Oracle, MySQL, SQL Server, and Postgres.
Experience with performance tuning and optimization across relational databases and the Databricks stack.
Experience working in an Agile delivery model and contributing to key project milestones, deliverables, budgets, and standards.
Ability to manage multiple priorities in a dynamic environment while maintaining focus on high-impact outcomes.
Strong communication skills, with the ability to present technical recommendations to senior stakeholders and influence decisions across cross-functional teams.

Nice To Haves

Experience working with network telemetry, topology data, PM/CM/FM data, CDRs, or other large-scale network datasets.
Experience building reusable data products, APIs, dashboards, decision-support tools, or automation capabilities.
Exposure to generative AI, LLMs, digital twins, intelligent automation, agentic AI, or advanced forecasting in a network environment.
Experience influencing technical strategy or architecture in a large enterprise environment.

Responsibilities

Lead the development of advanced algorithmic modelling, big data processing, and AI/ML solutions for wireless network planning, performance engineering, capacity forecasting, and optimization.
Apply deep learning, reinforcement learning, graph models, statistical analysis, and predictive modelling techniques to solve complex wireless network challenges.
Use wireless network, customer experience, and business data to identify actionable insights that improve service reliability, network performance, and investment decisions.
Define and implement key metrics that measure network health, capacity, customer experience, business impact, and economic viability.
Drive AI/ML strategy, technical roadmaps, and architectural reviews for complex wireless analytics and network transformation initiatives.
Design, maintain, and improve predictive tools and near-real-time systems that support network forecasting, automation, planning, and optimization.
Identify emerging technologies and extend existing big data, cloud, and AI/ML capabilities to meet future network, business, and customer needs.
Promote adoption of tools, platforms, and services developed by the team across cross-functional engineering, technology, and business stakeholders.
Work on highly complex and ambiguous problems where analysis requires sound judgment, experimentation, and evaluation of technical, operational, and business trade-offs.
Lead one- to three-year technology strategies and roadmaps aligned with wireless network priorities and enterprise transformation goals.
Communicate complex technical recommendations clearly through presentations, proposals, and senior stakeholder discussions.
Mentor and influence technical peers by sharing expertise, reviewing solution approaches, and encouraging innovative ways to solve business and network challenges.

Benefits

Competitive salary & annual bonus
Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
Paid time off for volunteering
Company matching contributions to charities you support
My Path: self-driven career development program
Rogers First: priority in applying to internal roles of interest
Homewood employee & family assistance program
Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
Low or no-cost fitness membership with access to virtual classes
Work for an organization committed to environmental protection
Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women.