Junior Data Scientist

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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

• Support the development of data-driven features for pricing and promotion strategies to improve revenue and profitability. • Build, test, and maintain analytical models for demand forecasting, price sensitivity, and promotion performance with guidance from senior team members. • Apply data science, data analysis, machine learning, and statistical techniques to help solve retail business problems such as forecasting accuracy and promotion effectiveness. • Analyze structured and unstructured retail data to identify trends, understand customer behavior, and generate actionable insights. • Collaborate with cross-functional teams to implement and scale data solutions, and communicate findings through clear analysis and visualizations.

🎯 Requirements

• Strong foundation in mathematics including linear algebra, probability & statistics. • Solid understanding of hypothesis testing, regression analysis, and core machine learning algorithms, with at least 2 years of hands-on experience with Python(pandas, NumPy, OOP), as well as with scikit-learn or similar machine/Deep learning open-source software libraries. • 2+ years of experience in data analysis using SQL and Python, including data extraction, data preparation, EDA, and basic statistical analysis. • 1+ years of experience in retail or CPG, with proven expertise in price elasticity modeling, demand forecasting, promotion optimization, pricing and other retail strategies. • 1+ year of experience with MLOps (Databricks, Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, or similar), and CI / CD pipelines. • 1+ year of experience in developing, integrating, delivering, and supporting AI and analytics solutions, with exposure to pricing optimization and retail analytics. • Exceptional communication and presentation skills, capable of conveying complex insights clearly and effectively to both technical and non-technical audiences.