Data Scientist (m/f/d)

Your tasks

As part of our commitment to leveraging data and AI to drive business value, we are seeking a curious and motivated Data Scientist to join our team.

In this key role, you will transform data into actionable insights, develop machine learning models, and help build the foundation for AI-driven decision-making across the organization. You will work closely with business stakeholders and technical teams to solve complex challenges and support Testo's data transformation journey.

Data Science & Modelling: 

• Collect, explore, and analyze data from various business domains to uncover meaningful patterns and trends.
• Build, validate, and iterate on statistical and machine learning models that address real business questions.
• Apply techniques such as regression, classification, clustering, and time-series forecasting to a variety of use cases.
• Translate model outputs into clear, actionable insights, making the complex understandable.

Business Collaboration & Insight Delivery: 

• Work closely with teams across finance, operations, sales, and supply chain to understand their data needs and business context.
• Act as a translator between data and business: listen to the business problem, find the right analytical approach, and present findings that stakeholders can act on.
• Build dashboards and reports that make insights accessible and self-serviceable for non-technical users.

AI Enablement: 

• Work closely with teams across finance, operations, sales, and supply chain to understand their data needs and business context.
• Act as a translator between data and business: listen to the business problem, find the right analytical approach, and present findings that stakeholders can act on.
• Build dashboards and reports that make insights accessible and self-serviceable for non-technical users.

Continuous Learning & Data Culture: 

• Stay up to date with developments in data science, machine learning, and AI - and bring new ideas into the team.
• Help establish best practices for data usage and analytics across the organization.
• Actively contributes to a culture where data is trusted, understood, and used to make better decisions.

Our benefits

Career development
We offer tailored training opportunities and diverse, including international, career prospects. Your professional development matters to us.

Challenging and dynamic
In our global company, you can look forward to an exciting and dynamic environment.

Flexibility is key
Enjoy flexible working hours and the option to work remotely in a hybrid setup.

Ideas and sense
Contribute your expertise – your input is valued and appreciated. The result of your work is products that protect the environment and health.

Modern technologies and digital communication
State-of-the-art technology and digital media are a given, enabling efficient communication.

Room for maneuver
We set shared goals that you pursue independently.

Your profile

Education: Bachelor’s Degree in Data Science, Computer Science, Mathematics, Statistics, Business Informatics, or a related field.

Must-Have Experience:

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

Nice-to-Have Experience:

• Experience with cloud data platforms or modern data stacks
• Exposure to AI/GenAI use cases or LLM-based applications in a business context.
• Experience in an SAP environment (SAP Datasphere, SAP Analytics Cloud, or similar) can be learned on the job.

Languages: Very good command of written and spoken English.

Personal Attributes: 

• Genuinely curious about data and passionate about finding the story behind the numbers.
• A fast learner who picks up new tools, technologies, and domains quickly — and enjoys doing so.
• Strong communicator who can explain complex analytical findings clearly to both technical and non-technical audiences.
• Business-minded: able to understand the "why" behind a question, not just the "how" of solving it.
• Collaborative and open, thriving in cross-functional teams and an international environment.
• Proactive and self-driven — comfortable working with ambiguity and taking initiative.