Time Series Data Scientist: Forecast Insights & Impact

Autodoc Group; Lisboa; Híbrido; EUR 50 000 - 78 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salaries

Vacation 25 days

Birthday day off

Meal allowance

Healthcare plan

Mental wellbeing program

Corporate discount

Learning & Development

Language classes

Hybrid work

Resumo da oferta

AUTODOC is seeking a Middle+ Data Scientist to join the Digital Twin team in building and improving forecasting solutions for revenue, orders, and customers. You will work on understanding forecast drivers, explain deviations, and translate outputs into actionable business insights.

You will contribute to forecast monitoring, anomaly detection, and what-if analysis, collaborating with cross-functional teams in a fast-growing international setting.

Qualificações

• 3+ years of data science experience in a DS role.
• Hands-on with time series data and forecasting models.
• Familiar with time series cross-validation and external regressors.
• Experience designing data validation checks for forecast results.
• Ability to explain forecast drivers and actions clearly.
• Familiar with what-if/scenario modeling principles.
• Proficient in English at B2 or higher.

Responsabilidades

• Build, maintain, and evolve production-ready time series forecasting models for key metrics (revenue, orders, customers).
• Design robust forecast evaluation frameworks ensuring stability and accuracy.
• Analyze forecast drivers and deviations between plan and actuals.
• Perform plan vs. actual analyses to identify root causes and support actions.
• Translate forecasting outputs into actionable insights for stakeholders.
• Collaborate with Product Managers, Analysts, and Business teams on forecasts and planning.
• Contribute to forecast monitoring, anomaly detection, and what-if analysis capabilities.

Conhecimentos

Time series forecasting

Data Science

English B2

Descrição da oferta de emprego

AUTODOC is seeking a Middle+ Data Scientist to join the Digital Twin team in building and improving forecasting solutions for revenue, orders, and customers. You will work on understanding forecast drivers, explain deviations, and translate outputs into actionable business insights.

You will contribute to forecast monitoring, anomaly detection, and what-if analysis, collaborating with cross-functional teams in a fast-growing international setting.