Company DescriptionZAAI is an artificial intelligence company building AI forecasting engines for retail companies and providing AI consultancy services.
We help retailers turn complex data into clear forecasts and actionable insights that improve decision-making across demand planning, inventory, and customer experience.Our work combines machine learning, time-series modeling, and agent-based AI systems.
We partner closely with our clients to design, build, and deploy AI solutions that deliver real business impact.Role DescriptionWe are looking for a Data Scientist to join our growing team and contribute to ZAAI's core AI products.
This role is well-suited for someone with 2+ years of experience who wants to grow while working on real-world AI systems used by retail companies.You will work on our forecasting engine, and also help develop search and recommendation solutions, including the use of AI agents for data processing, retrieval, orchestration, and decision-making.
You'll collaborate closely with engineers, product leaders, and consultants in a supportive, hands-on environment.Responsibilities include:Contribute to the development and improvement of forecasting models for retail use cases such as demand and sales forecasting.Apply machine learning and statistical techniques to time-series and transactional data.Help design and build search and recommendation systems, improving relevance, ranking, and personalization.Develop and experiment with agent-based AI systems for tasks such as data processing, feature generation, semantic retrieval, and automated analysis.Run experiments, evaluate model performance, and iterate based on results.Collaborate with engineers to deploy models into production and improve scalability and reliability.Work with consultants and clients to translate business problems into practical data science solutions.Monitor models and agents in production and help improve them over time.Qualifications:2+ years of experience as a Data Scientist, ML Engineer, or in a related role.Strong foundations in machine learning, statistics, or related fields.Experience with Python and common data science tools (e.g. pandas, scikit-learn, PyTorch, TensorFlow).
Interest or hands-on experience with AI agents, modern NLP systems, or retrieval-based architectures.Comfortable working with real-world, imperfect data and learning new techniques as needed.Ability to clearly communicate ideas and results to both technical and non-technical teammates.Bachelor's or Master's degree in a quantitative field (or equivalent practical experience).
Bonus points if:You've worked with retail, e-commerce, or supply chain data.You have experience with time-series forecasting or demand planning problems.You've built or experimented with agent-based systems for search, recommendations, or analytics.You've contributed to production AI or data products.You enjoy learning, experimenting, and growing in a collaborative team.