Data Scientist

Job not on LinkedIn

July 29

Apply Now

Receive Emails with Similar Jobs

Quicklizard (TASE:QLRD)

WebsiteLinkedInAll Job Openings

Artificial Intelligence • eCommerce • Retail

Quicklizard is a leading AI-powered dynamic pricing platform designed to help retailers and brands optimize their pricing strategies using advanced machine learning techniques. By providing tailored pricing solutions, Quicklizard enables clients to synchronize their pricing across multiple channels and gain a competitive edge in the market. Its robust Python-based system ensures swift implementation and allows for real-time adjustments based on market demand, competitor pricing, and inventory levels, leading to increased revenue and profitability.

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

🛍️ eCommerce

🛒 Retail

📋 Description

• Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies. • Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement. • Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

🎯 Requirements

• A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking. • 4+ years of professional experience in: • End-to-end machine learning lifecycle (design, development, deployment, and monitoring). • Advanced Python development, including OOP, writing production-grade code, testing, and optimization. • Data mining, statistical analysis, and effective data visualization techniques. • Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels). • Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.

🏖️ Benefits

• Professional Growth: Work in a stimulating environment where you can continuously develop and expand your skills. • Impactful Work: Tackle complex problems that directly influence major global brands and retailers. • Innovative Team Culture: Be part of a dynamic, technology-focused team at the forefront of retail tech innovation and data science.