Offer summary

Qualifications:

Pursuing or completed a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Data Science., Strong programming skills in Python, including experience with libraries like Pandas, NumPy, and Scikit-learn., Experience with SQL for data querying and manipulation., Knowledge of text data processing and NLP techniques is a plus..

Key responsibilities:

Conduct in-depth data analysis to identify patterns and insights.

Design, develop, and maintain data products to support customer adoption.

Perform exploratory data analysis and feature engineering on structured and unstructured data.

Develop and validate machine learning models to address business problems.

Job description

About Us
Join Hypersonix, the premier AI-driven platform revolutionizing eCommerce and retail profitability. In an industry where 70% of businesses struggle with stagnation, escalating costs, and unpredictable risks, Hypersonix provides real-time, actionable intelligence powered by its proprietary Commerce Large Language Model.
We equip businesses with AI-driven insights to optimize sales, competition analysis, and demand forecasting—seamlessly integrating with major eCommerce, ERP, and financial platforms. Hypersonix enables businesses to identify risks and opportunities faster, ensuring sustainable, profitable growth. Our mission? To help retailers not just survive but thrive.
Be part of a team that’s reshaping the future of commerce with cutting-edge AI. Join us and make an impact! 🚀

Roles and 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.

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.
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.
Strong problem-solving skills, attention to detail, and ability to work independently and in teams.
Strong scripting and test automation abilities

Only those candidates can apply who:

1. Available for the work from home job/internship.

2. Can start internship Immediately.

3. Are available for a duration of 6 months.

4. Have relevant skills and interests.
5. This is a paid internship. No college credit is offered.

Required profile