Senior Data Scientist (Azure)

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