Data Scientist

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.

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