Staff Data Scientist

Hypersonix.ai is revolutionizing the e-commerce landscape by harnessing the power of AI, ML, and advanced decision capabilities to deliver real-time business insights. Built from the ground up with cutting-edge technology, Hypersonix.ai simplifies data consumption for our diverse range of customers across various industry verticals.

Roles and Responsibilities:

• Collaborate with cross-functional teams in designing, developing, and deploying traditional machine learning models and algorithms for supply chain optimization

• Conduct research, experimentation, and implementation of state-of-the-art traditional machine learning techniques and frameworks to address complex challenges

• Develop and enhance forecasting models for demand prediction, inventory management, and pricing optimization

• Optimize traditional machine learning models for tasks such as inventory forecasting, pricing strategies, and demand forecasting

• Stay abreast of the latest advancements in traditional machine learning, forecasting techniques, and optimization methods, integrating them into our projects

• Collaborate closely with data scientists, software engineers, and product teams to seamlessly integrate machine learning solutions into production environments

• Document research findings, methodologies, and codebase for effective knowledge sharing and team collaboration

• Troubleshoot and resolve issues in production environments to ensure system reliability and performance

• Conduct root cause analysis of product defects and implement effective solutions

• Design, develop, and maintain components of the product to drive customer adoption

• Utilize various data science methodologies to tackle complex business problems effectively

Qualification/Requirements:

• Strong problem-solving skills and the ability to tackle complex, open-ended challenges

• Self-motivated individual with a strong work ethic, capable of working independently and collaboratively within a team

• Proven experience in traditional machine learning, forecasting, pricing, and inventory optimization with a robust portfolio of projects

• Proficiency in Python programming and the ability to write efficient, maintainable code

• Expertise in traditional machine learning libraries and frameworks such as scikit-learn, XGBoost, and LightGBM

• Experience with cloud-based AI services and infrastructure (e.g., AWS)

• Demonstrated experience in API development and integration

• Previous experience working in production environments, ensuring system stability and performance