Data Scientist - Flexible, AI & Business Insights

Testo; Albergaria-a-Velha; Presencial; EUR 42 000 - 68 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work arrangements

International environment

Learning opportunities

Competitive remuneration

Resumo da oferta

Testo SE & Co. KGaA seeks a Data Scientist to transform data into actionable insights, develop machine learning models, and support AI-driven decision making across the organization.

You will collaborate with finance, operations, sales, and supply chain teams, build self-service dashboards, and help establish an AI-ready data platform. The role offers an international environment, learning opportunities, and competitive remuneration.

Qualificações

• 2–5 years of professional experience in Data Science or related analytical field.
• Strong hands-on experience with machine learning and statistical modelling.
• Proven experience collecting, cleaning, exploring, and analyzing complex datasets.
• Experience presenting analytical findings to non-technical stakeholders and translating data into business value.

Responsabilidades

• Collect, explore, and analyze data from various business domains to uncover patterns and trends.
• Build, validate, and iterate on models addressing real business questions.
• Translate model outputs into clear, actionable insights for stakeholders.
• Build dashboards and reports for self-service access by non-technical users.

Conhecimentos

Data Science

Machine Learning

Data Analysis

Data Visualization

Formação académica

Bachelor's degree

Ferramentas

SAP Datasphere

SAP Analytics Cloud

Descrição da oferta de emprego

Testo SE & Co. KGaA seeks a Data Scientist to transform data into actionable insights, develop machine learning models, and support AI-driven decision making across the organization.

You will collaborate with finance, operations, sales, and supply chain teams, build self-service dashboards, and help establish an AI-ready data platform. The role offers an international environment, learning opportunities, and competitive remuneration.