Data Scientist

Autodoc Group; Lisboa; Presencial; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salaries

25 days annual vacation

Meal Allowance

Healthcare Plan

Mental Wellbeing Program

Corporate discount on car parts

Learning & Development opportunities

Free language classes

Flexible working hours

Resumo da oferta

Autodoc Group in Lisbon is looking for a Middle+ Data Scientist with experience in time series forecasting. The role involves building forecasting models for business metrics, ensuring accuracy and providing insights for decision-making. Candidates should have 3+ years of experience, expertise in model evaluation, and strong skills in data analysis. The company offers competitive salaries, flexible working hours, and comprehensive health coverage, among other benefits.

Qualificações

• 3+ years of professional experience in a Data Science role.
• Hands-on experience with time series data, building forecasting models.
• Understanding of time series cross-validation and external regressors.

Responsabilidades

• Build and maintain time series forecasting models for key metrics.
• Design forecast evaluation frameworks for accuracy and stability.
• Analyze forecast drivers and changes for actionable insights.

Conhecimentos

Time series forecasting

Data analysis

Forecast explainability

Model evaluation

Data validation

Formação académica

3+ years of experience in Data Science

B2 level English proficiency

Ferramentas

Forecasting models

Large multi-source datasets

Descrição da oferta de emprego

Job Description

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.

Qualifications

• 3+ years of professional experience in a Data Science role.
• Hands‑on experience working with time series data is required, including building, evaluating, and maintaining forecasting models.
• Practical experience using different modeling approaches for time series forecasting and understanding their trade‑offs.
• Solid understanding of time series cross‑validation and the use of external regressors.
• Experience designing data validation checks, including validation of input data and consistency checks for forecast results.
• Understanding of forecast explainability concepts, including how to identify and communicate key drivers behind forecast changes (hands‑on experience is a plus).
• Familiarity with what‑if / scenario modeling principles, including assessing the impact of assumptions, initiatives, or external factors on forecasts.
• Experience working with large, multi‑source datasets, with an understanding of data quality risks in forecasting pipelines.
• English proficiency at B2 level or higher.

Additional Information

What do we offer?

• Competitive salaries based on your professional experience.
• Fast growing international company with stable employment.
• Annual vacation of 25 working days and 1 additional day off on your birthday.
• Day off on Municipality day and Carnaval.
• Meal Allowance (8 euros per working day).
• Fidelidade Healthcare Plan (Comprehensive health coverage with the option to include your partner and children at discounted rates).
• Mental Wellbeing Program through the OpenUp platform.
• AUTODOC corporate discount for purchasing car parts at special rates for personal use.
• Learning & Development (over 650 courses on soft and hard skills on our e‑learning platform).
• Free English and German language classes (after probation period).
• Flexible working hours and hybrid work.