Data Scientist, ML

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Hypersonix Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🛍️ eCommerce

🛒 Retail

Artificial Intelligence • eCommerce • Retail

Hypersonix Inc. is a leading provider of AI-driven analytics and automation solutions specifically designed for retail and eCommerce businesses. Through their groundbreaking platform, ProfitGPT, Hypersonix empowers merchandising, marketing, and forecasting teams to increase market share and optimize product margins. Their AI solutions, including Competitor AI, Pricing AI, Promo AI, and Inventory AI, provide data-driven insights that help retailers improve pricing strategies, manage promotions, forecast demand, and automate inventory management. Hypersonix's innovative technology is trusted globally, offering up to 19% profit lift and a 7X return on investment. Their AI-driven approach enables retailers to make more informed decisions and stay competitive in a rapidly changing marketplace.

📋 Description

• Lead the design, development, and deployment of scalable machine learning solutions focused on pricing optimization, demand forecasting, and promotion planning. • Build and improve statistical and machine learning models for: • - Demand forecasting • - Price elasticity modeling • - Promotion optimization • - Inventory and revenue forecasting • Design, build and deploy robust ML pipelines in Databricks, build model monitoring systems, and production-ready APIs. • Ability to design and evaluate transformer-based time series forecasting models for large-scale retail sales forecasting and demand planning. • Drive experimentation, model evaluation, and continuous improvement of forecasting and pricing models. • Analyze large-scale structured and unstructured retail datasets to uncover trends, customer behavior patterns, and pricing insights. • Develop data-driven strategies that help maximize revenue, profitability, and pricing efficiency across products and categories. • Apply advanced statistical techniques and machine learning algorithms to solve complex retail business problems. • Collaborate closely with Product, Engineering, Data Engineering, and Business teams to translate business requirements into scalable ML solutions. • Mentor junior data scientists and provide technical guidance across cross-functional teams. • Communicate analytical findings and business recommendations clearly to both technical and non-technical stakeholders.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. • 5+ years of hands-on experience in Machine Learning and Data Science. • Strong background in mathematics, probability, statistics, and regression analysis. • Solid understanding of traditional machine learning algorithms and statistical modeling techniques. • Strong programming expertise in Python, including: • - Pandas • - NumPy • - Object-Oriented Programming (OOP) • - Scikit-learn • - TensorFlow or similar ML frameworks • Experience working with PySpark and large-scale data processing systems. • Strong SQL skills and experience working with relational databases and data warehouses. • Experience developing APIs and ML services using Flask or similar frameworks. • 5+ years of experience in Retail, CPG, or E-Commerce domains with expertise in: • - Demand forecasting • - Price elasticity • - Promotion optimization • - Pricing strategy • Experience with MLOps platforms and deployment pipelines such as: • - Databricks • - Large Language Models (LLMs) • - Google Vertex AI • - Amazon SageMaker • - Azure Machine Learning • Experience building and maintaining CI/CD pipelines for ML workflows.