Data Scientist

## Join our Team At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position. About This Opportunity: Ericsson is accelerating the use of AI and GenAI across our products and how we build them. In this role, you will help shape how engineers and product teams use data, AI, and agentic workflows every day—driving better decisions, smarter automation, and faster innovation across our RAN management and software portfolio. You will join a growing data and AI group that is building production-grade data products and AI systems end-to-end, from raw telemetry and platform data to deployed AI agents and ML services used by internal users worldwide. Our data platform ingests large-scale RAN and software lifecycle data and provides the foundation for analytics, automation, and AI/ML. As a Data Scientist, you will be a senior individual contributor working closely with a lead engineer. You will focus on designing and implementing agentic AI solutions, robust data pipelines, and solid data management and governance practices that enable scalable, reliable, and compliant use of data across our organization. What You Will Do: * Design and build agentic AI workflows and systems that orchestrate tools, data, and models to improve engineering, operations, and product development processes * Develop and deploy production-grade ML and GenAI solutions (including LLM-based agents) that support use cases such as developer assistance, intelligent automation, monitoring, and decision support * Collaborate with data platform and engineering teams to design, implement, and operate reliable data pipelines and features for AI/ML use cases (batch and, where relevant, streaming) * Contribute to the design and evolution of our data platform, including data models, feature stores, metadata, and observability for AI/ML workloads * Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, Retrieval-Augmented Generation) to build practical, secure, and robust AI applications * Implement and follow MLOps best practices, including experiment tracking, model versioning, automated deployment, monitoring, and A/B testing * Work closely with data management and governance stakeholders to ensure that data used by AI/ML and agentic workflows meets quality, lineage, privacy, and access control requirements * Analyze complex datasets to derive actionable insights that inform platform evolution, process optimization, and AI/ML roadmap priorities * Document solutions, patterns, and best practices so other teams can build on your work and adopt the data platform and AI capabilities effectively * Collaborate with cross-functional partners (engineering, product, operations, security, governance) to understand needs, frame problems, and translate them into robust data and AI solutions ## The skills you will bring: * Proven experience as a Data Scientist or similar role, delivering production ML or GenAI solutions end-to-end (from data to deployed systems), ideally in a complex platform or product environment * Strong hands-on skills with Python for data science and ML, and solid proficiency with SQL for working with large datasets and analytical queries * Practical experience with LLMs and GenAI applications, including some of the following: * Prompt engineering and tool-augmented agents * Fine-tuning or adaptation of foundation models * Retrieval-Augmented Generation (RAG) * Experience building or operating agentic AI systems (e.g., multi-step tool-using agents, workflow orchestration for LLMs, conversational task assistants) * Solid understanding of data pipelines and data platform concepts, for example: * Building and operating ETL/ELT pipelines for large-scale structured and semi-structured data * Working with modern data platforms (e.g., Spark, Trino/Presto, data lakehouse formats such as Iceberg/Delta/Parquet, or equivalent technologies) * Designing data models and...