Data Science Intern

Hypersonix Logo

Hypersonix

๐Ÿ“Remote - Worldwide

Summary

Join Hypersonix, a leading AI-driven platform transforming eCommerce and retail profitability, and be part of a team reshaping the future of commerce. We offer a paid internship (no college credit) for a data scientist to conduct in-depth data analysis, design and maintain product components, and develop machine learning models. The ideal candidate will have strong Python programming skills, experience with SQL and text data processing, and the ability to work independently and collaboratively. This is a remote, 6-month internship requiring immediate availability. The role involves working with structured and unstructured data, implementing data pipelines, and collaborating with cross-functional teams.

Requirements

  • Currently pursuing or completed a Bachelorโ€™s/Masterโ€™s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science)
  • Strong programming skills in Python (including Pandas, NumPy, Scikit-learn) and experience with SQL for data querying and manipulation
  • Strong problem-solving skills, attention to detail, and ability to work independently and in teams
  • Strong scripting and test automation abilities
  • Available for the work from home job/internship
  • Can start internship Immediately
  • Are available for a duration of 6 months
  • Have relevant skills and interests

Responsibilities

  • Conduct in-depth data analysis to identify patterns, trends, and key insights
  • Design, code, and maintain parts of the product and drive customer adoption
  • Work with structured and unstructured (text) data, performing extensive exploratory data analysis (EDA) and feature engineering
  • Develop and validate statistical models and machine learning algorithms to solve real-world business problems
  • Implement and maintain data pipelines, ensuring scalability and performance
  • Utilize Python and relevant open-source libraries for data processing, visualization, and predictive modeling
  • Collaborate with cross-functional teams to drive data-driven decision-making and product development

Preferred Qualifications

  • Run and fine-tune open-source Large Language Models (LLMs) for NLP tasks (preferred but not mandatory)
  • Experience with text data processing (e.g., NLP, regex, tokenization) is a plus
  • Prior exposure to open-source LLMs (e.g., Llama, Mistral) is a plus

Benefits

This is a paid internship. No college credit is offered

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