Data Science Intern

Summary

Join Hypersonix, a leading AI-driven platform revolutionizing eCommerce and retail profitability. We are seeking a data scientist to conduct in-depth data analysis, design and maintain product components, and develop machine learning models. You will work with structured and unstructured data, implement data pipelines, and collaborate with cross-functional teams. This role requires proficiency in Python, SQL, and data processing techniques. The ideal candidate will have experience with LLMs and a background in a quantitative field. This is a work-from-home internship requiring immediate availability for six months.

Requirements

• Currently pursuing or completed a Bachelor’s/Master’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
• Run and fine-tune open-source Large Language Models (LLMs) for NLP tasks (preferred but not mandatory)
• Collaborate with cross-functional teams to drive data-driven decision-making and product development

Preferred Qualifications

• 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