Lead the RAN data platform and a team of data scientists to design scalable data architectures, deploy production ML/LLM and GenAI solutions (RAG, fine-tuning), implement MLOps practices, build forecasting and analytics for CI/CD and capacity planning, and collaborate with platform and engineering teams to deliver data-driven insights across research and operations.
Join our Team
About this opportunity:
The RAN System Management & Architecture sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives.
In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.
What you will do:• Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios• Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)• Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions• Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations• Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions• Build time series forecasting models for CI/CD predictions and capacity planning• Collaborate with data platform and engineering teams to define requirements and implement solutions• Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement
The skills you bring:• 3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)• Advanced Python programming for production environments and expertise in snowflake or Apache Spark for large-scale data processing• SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)• Understanding of distributed systems, production data pipelines, and MLOps practices• Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions• Can articulate model architecture choices and technical tradeoffs• Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards• Master's or PhD in Data Science, Statistics, Computer Science, or related field• Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional
Location
Kista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 787297
#BI-Hybrid
About this opportunity:
The RAN System Management & Architecture sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives.
In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.
What you will do:• Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios• Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)• Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions• Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations• Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions• Build time series forecasting models for CI/CD predictions and capacity planning• Collaborate with data platform and engineering teams to define requirements and implement solutions• Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement
The skills you bring:• 3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)• Advanced Python programming for production environments and expertise in snowflake or Apache Spark for large-scale data processing• SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)• Understanding of distributed systems, production data pipelines, and MLOps practices• Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions• Can articulate model architecture choices and technical tradeoffs• Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards• Master's or PhD in Data Science, Statistics, Computer Science, or related field• Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional
Location
Kista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 787297
#BI-Hybrid
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