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Data Scientist Intern - Remote

Posted 16 weeks ago
Data Analysis
Internship
Mexico

Overview

We are seeking a Data Scientist Intern to support our AI product development by analyzing data, building predictive models, and extracting insights.

In Short

  • Explore, preprocess, and analyze large datasets to derive meaningful insights.
  • Build and evaluate machine learning models for AI-driven applications.
  • Work on feature engineering and model optimization techniques.
  • Collaborate with engineers to deploy models into production.
  • Communicate findings through reports, dashboards, and visualizations.
  • Work on projects involving LLMs and AI agent integrations.

Requirements

  • Recent graduate in Data Science, Computer Science, Physics, or related fields.
  • Experience with Python, SQL, and machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.).
  • Strong understanding of statistics, data analysis, and feature engineering.
  • Ability to interpret and communicate complex data-driven insights.
  • Knowledge of cloud computing and big data frameworks is a plus.
  • Experience working with LLMs and AI agent integration is preferred.
  • Strong preference for candidates with experience in OpenAI and Azure environments.
  • Full-time availability.
  • Advanced proficiency in English is required.

Benefits

  • Hands-on experience with real-world data science projects.
  • Work with a team of AI and machine learning experts.
  • Exposure to state-of-the-art AI technologies and applications.
  • Potential pathway to a full-time position upon completion.
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Rackspace

Rackspace is a leading provider of cloud solutions, specializing in advanced technical support and management of complex AWS-based environments. The company focuses on delivering high-performance, secure, and scalable cloud architectures while ensuring optimal operational efficiency. With a commitment to customer satisfaction, Rackspace empowers its teams to troubleshoot critical issues, implement automation, and lead innovative projects in cloud migration and modernization. The company values technical expertise, collaboration, and continuous improvement, making it a trusted partner for businesses navigating their cloud journeys.

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