Senior Data Scientist (Azure)
13 Апреля 2026
Город:
Ташкент
Занятость:
Полная занятость
Компания "HUMAN AND CAPITAL"
About the Company:
This is a global IT outsourcing company delivering high-end consulting and engineering services.
You will join a long-term project for a world-leading Food & Beverage corporation, partnering with their Integrated Business Planning team on statistical forecasting and analytics.
Key Responsibilities:
• Build, train, and optimize statistical and ML models for time-series forecasting
• Conduct advanced analytics: decomposition, anomaly detection, seasonality
• Work with large-scale datasets using Python + PySpark
• Deploy models in the Azure ecosystem (Databricks, DevOps)
• Improve model accuracy, stability, reliability
• Maintain high-quality code (Git, engineering best practices)
• Collaborate with distributed teams across multiple regions
Requirements:
• Strong hands-on experience with time-series models (including ARIMA)
• Solid experience with XGBoost, LightGBM, CatBoost, Prophet
• Good Python + PySpark skills
• Experience with Azure (Databricks, DevOps)
• Deep understanding of seasonal-trend decomposition
• Experience with DL-based forecasting models - a plus
• Knowledge of Azure Data Factory - optional
Nice to Have:
• Experience in enterprise demand forecasting in production
• Work experience with international cross-functional teams
Work Format:
Remote Phase (first 6–7 months):
- Fully remote
- Engagement via project-based contract
Hybrid Phase (after 6–7 months):
- Hybrid format with regular onsite presence in Tashkent office
- Employment transitions to a labor contract under Uzbekistan law
- Long-term stability + structured onboarding
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