Hot vacancyOur client, a top-5 global FMCG company, is developing a service designed to optimize pricing strategies for dozens of product categories across the globe.
What we’re looking for:
Statistical and ML skills:
- Classical ML Models (sklearn, random forest/lgbm),
- Time series forecasting (ARIMA, Prophet, Neural Prophet),
- Deep Learning (preferable, not needed for junior-ish positions);
Experience with data presentation:
- Plotly dash / StreamLit forb,
- Matplotlib / Plotly;
Experience in applicable industries:
- Retail / FMCG;
Experience with tangent projects:
- Demand forecasting / price optimization,
- Inventory management,
- Recommendation engine.
MA and/or PhD in Applicable Fields (Computer science or math),
What we offer:
— Remote-first model of work;
— Cooperation under the FOP model/B2B contract;
— Paid vacation (18 working days per year);
— Paid sick leaves (10 working days per year);
— Paid medical insurance after the probation period;
— English-speaking clubs.
