Data Scientist - Time series and forecasting

📋 Description

• End-to-end forecasting and classification use cases.
• Explore data and perform EDA to assess quality.
• Engineer features for tabular/time-series data.
• Train, validate, and tune ML models.
• Evaluate models using business KPIs.
• Create visuals and reports for stakeholders.

🎯 Requirements

• Experience with classical ML models (trees, ensembles, linear regression).
• Knowledge of customer analytics or advanced forecasting.
• Model hyperparameter tuning experience is a plus.
• Python fluency; SQL basics.
• Knowledge of DS/ML libraries.
• Cloud platform experience (Databricks, GCP, or Azure).

🎁 Benefits

• Stable employment; 1500+ talents across 7 sites.
• Office as an option: remote or in-office.
• Udemy e-learning access from day 1.
• Flexible hours and contract types.
• Autonomy to choose how you work.
• Promotions from within; 76% internal promotions.