The Job

System Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

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In short

Seeking an experienced System Data Scientist to lead RAN data platform initiatives. This role involves building data systems and analytical frameworks using AI/ML (LLMs, GenAI) and full-stack data science capabilities, leading a team, and collaborating with architects to ensure data-driven decision-making across the organization.

Responsibilities

  • Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning.
  • Develop and deploy production ML models with expertise in MLOps practices.
  • Build and implement GenAI applications and LLM solutions (prompt engineering, fine-tuning, RAG).
  • Extract actionable insights from complex data to drive data-driven decisions.
  • Perform advanced feature engineering and model optimization.
  • Build time series forecasting models for CI/CD predictions and capacity planning.
  • Collaborate with data platform and engineering teams to define and implement solutions.
  • Lead and mentor a team of 4-6 data analysts.

Requirements

  • 3+ ML models deployed to production.
  • Hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications.
  • Advanced Python programming for production environments.
  • 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).
  • Ability to translate business questions into analytical solutions.
  • Ability to articulate model architecture choices and technical tradeoffs.
  • Master's or PhD in Data Science, Statistics, Computer Science, or related field.

Desired Qualifications

  • Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards.
  • Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional.

Benefits

  • Outstanding opportunity to use your skills and imagination to push the boundaries of what's possible.
  • Opportunity to build solutions never seen before to some of the world’s toughest problems.
  • Challenging work environment where you won't be alone.
  • Joining a team of diverse innovators.
  • Encouraging a diverse and inclusive organization is core to our values.
  • Championing diversity in everything we do.
  • Belief that collaborating with people with different experiences drives innovation.
  • Encouragement for people from all backgrounds to apply and realize their full potential.
#Data Science#AI#Machine Learning#LLM#GenAI#System Management#RAN
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Company

Ericsson

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Kista, Sweden

Athlone, Ireland

Qualification

Master, Doctoral

Applicants

Be an early applicant