Data Scientist (Early Career Program)

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · DevOps

In short

Ericsson's Early Career Program is seeking a Data Scientist in Madrid for an 18-month journey. You will apply data science, AI, and MLOps to enhance mobile network performance, working on traffic analysis, optimization, and AI-driven development tools.

Responsibilities

Develop and evaluate machine learning and statistical models for traffic classification, network analytics, and optimization.
Analyze network, system, application, log, and telemetry data to identify patterns and improvement opportunities.
Build data preparation, feature engineering, experimentation, evaluation, and visualization workflows.
Apply MLOps practices for model versioning, testing, deployment, monitoring, and continuous improvement.
Contribute to data lake and data product initiatives.
Translate technical questions into data requirements, success criteria, recommendations, and documented solutions.
Collaborate with software engineering, data engineering, architecture, technology, and international teams.

Requirements

A bachelor’s or master’s degree, or equivalent practical experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Telecommunications, or a related field.
Strong Python skills, including pandas and NumPy.
Familiarity with data pipelines, distributed processing tools such as Spark or Airflow, and efficient data formats such as Parquet or Arrow.
Foundational knowledge of machine learning, statistics, feature engineering, model evaluation, cross-validation, class imbalance, and MLOps.
Experience with deep learning frameworks such as PyTorch or TensorFlow and architectures including CNNs, RNNs, or Transformers.
Familiarity with Linux, Docker, Kubernetes, and reproducible development environments.
Practical experience gained through academic projects, internships, research, or professional work.
Curiosity, ownership, structured problem-solving, clear English communication, and a collaborative mindset.

Desired Qualifications

Experience with MLOps, ML pipelines, model monitoring, data lakes, large-scale telemetry, telecommunications, 4G/5G Core, anomaly detection, time-series analysis, generative AI, Git, CI/CD, containers, or infrastructure automation.

Benefits

Work with advanced technologies.
Learn from experienced colleagues.
Help make networks smarter, more efficient, and ready for what comes next.

Skills

PythonpandasNumPySparkAirflowParquetArrowPyTorchTensorFlowLinuxDockerKubernetesGit

#Data Science#Artificial Intelligence#MLOps#Mobile Networks#6G#Network Analytics#Optimization#Data Lake#AI-driven Tools#Software Development#Python#pandas#NumPy#Spark#Airflow#Parquet#Arrow#Machine Learning#Statistics#Feature Engineering#Model Evaluation#Cross-validation#Class Imbalance#PyTorch#TensorFlow#CNNs#RNNs#Transformers#Linux#Docker#Kubernetes#Git#CI/CD

About Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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