Data Scientist at Autodoc3

We are seeking a Middle+ Data Scientist with 3+ years of professional experience, including hands-on work with time series forecasting, to join our Digital Twin team. About the project: The role focuses on building and improving forecasting solutions for key business metrics (such as revenue, orders, and customers) to support planning and decision-making. A critical part of this role is understanding and explaining forecast behavior — identifying the key drivers behind changes in the forecast, analyzing deviations between plan and actuals, and translating model outputs into clear, actionable insights for stakeholders. The emphasis is not only on producing a forecast, but on clearly answering why the forecast changes and what drives those changes. Nice-to-have experience includes forecast monitoring, anomaly detection, or scenario / what-if analysis. Responsibilities: • Build, maintain, and evolve production-ready time series forecasting models for key business metrics (revenue, orders, customers) with rolling horizons and systematic backtesting. • Design and apply robust forecast evaluation frameworks, ensuring forecast stability, accuracy, and comparability over time. • Analyze and explain forecast drivers and changes, identifying the underlying factors behind forecast updates and deviations between plan and actuals. • Perform plan vs. actual analysis to identify root causes of underperformance and support corrective actions. • Translate forecasting outputs into clear, actionable insights that support planning and decision-making for business and product stakeholders. • Collaborate closely with Product Managers, Analysts, and Business teams to align forecasts with assumptions, initiatives, and planning cycles. • Contribute to the development of forecast monitoring, anomaly detection, and scenario / what-if analysis capabilities