Your responsibilities will include
- Leading end-to-end projects for the creation and development of automatic demand forecasting and sales planning systems;
- Forming a roadmap for the development of forecasting tools and their integration into the company's overall IT architecture;
- Evaluating the economic impact of implementing new forecasting models;
- Collecting and formalizing requirements: interacting with the commercial department, category managers, and supply chain department, identifying factors influencing demand (promotions, seasonality, trends);
- Setting tasks and, together with Data Science teams, creating, testing, and validating forecast models (including ML algorithms);
- Developing technical specifications for integrating forecast modules with the ERP system and automatic ordering modules;
- Organizing pilot launches of models, conducting A/B tests (comparing old algorithms with new ones), and evaluating accuracy;
- Investigating systematic forecast errors (under-forecasting/over-forecasting), identifying root causes (data quality, anomalies), and eliminating them;
- Forming and prioritizing a backlog of tasks for the development team and analysts;
- Creating dashboards for monitoring forecast accuracy across categories, regions, and planning horizons.
We expect
- 3–5 years of experience as a product/project manager or system analyst in projects involving demand forecasting and inventory replenishment automation;
- Deep understanding of mathematical forecasting methods, S&OP principles, and factors influencing consumer demand;
- Experience working with complex data arrays, strong SQL skills;
- Practical experience collaborating with Data Science / Machine Learning teams (understanding the IT language of mathematicians and developers);
- Understanding of forecast quality metrics (WAPE, MAPE, BIAS) and their connection to business financial metrics;
- Advantage will be given to experience in large retail (FMCG, e-commerce) with a wide SKU matrix;
- Advantage will be given to basic Python knowledge for data analysis.
We offer
- A dynamic and rapidly developing business, resources, the opportunity to create the best product on the e-commerce market together;
- Competitive salary;
- Sports: yoga, dances, online functional training. Discounts on club cards from various fitness networks;
- Development: our employees participate in conferences, we cover training costs. We have a corporate offline library;
- Corporate programs: discounts and privileges from partner companies for our employees;
- Social responsibility: financial assistance, gift certificates upon birth of a child;
- Health: Voluntary Medical Insurance with dentistry, accident insurance, travel insurance;
- Employment according to the Labor Code of the Russian Federation;
- Work schedule: 5/2 Monday - Friday, flexible start of the workday.
