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Pubblicato su stage4eu il: 29/04/2025 Ericsson, Data Scientist Internship

Ericsson
C. Severo Ochoa, 55, Málaga, Spagna
Statistica/Data Analysis
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Attività:
  • Collaborate with the data science team & software engineers to analyze and understand project requirements and objectives.
  • Lead the integration of AI models into software applications and ensure their proper functionality.
  • Oversee the lifecycle management of AI models, including deployment, monitoring, updating, and retraining strategies to ensure sustained performance and relevance.
  • Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare data for modeling tasks.
  • Review and experiment with different machine learning techniques, including supervised and unsupervised learning algorithms.
  • Train, validate, and fine-tune machine learning models using relevant programming languages and frameworks.
  • Evaluate and interpret the performance of AI models using appropriate evaluation metrics and statistical methods for various software projects.
  • Document and present findings, insights, and recommendations to the data science team and project stakeholders.
  • Stay updated with the latest advancements and best practices in AI, machine learning, and data science techniques.
  • Contribute to team discussions, brainstorming sessions, and knowledge sharing activities to foster a collaborative learning environment.
Requisiti principali:
  • Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Solid understanding of fundamental concepts in machine learning, statistical modeling, and data analysis.
  • Proficiency in programming languages commonly used in data science, such as Python.
  • Familiarity with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with data preprocessing, feature engineering, and exploratory data analysis techniques.
  • Knowledge of statistical methods, hypothesis testing, and experimental design.
  • Strong analytical and problem-solving skills, with the ability to work with large datasets and extract meaningful insights.
  • Good communication and teamwork skills, with the ability to collaborate effectively with team members spread across the globe.
  • Fluent English is a must, written and spoken
  • Self-motivated and eager to learn, with a passion for AI, machine learning, and data science.
  • Previous experience or coursework in AI, machine learning, or data science is a plus.
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