Data Scientist – AI Platform & Data-Driven Excellence (m/f/d)

CompuGroup Medical SE; Koblenz; Hybrid; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

A leading healthcare software company seeks a data analyst to work on AI services, identifying trends and creating dashboards. Candidates should have a relevant degree and experience in data analysis, predictive modeling, and visualization using tools like Python and Tableau. This role offers flexibility with mobile work and opportunities for professional development.

Leistungen

Mobile work flexibility

Attractive workplace events

In-house academy for development

Health-focused initiatives

Corporate benefits and pension scheme

Qualifikationen

• Proven experience in data analysis and predictive modeling.
• Strong communication skills to translate data insights into business strategies.
• Experience in technology-driven environments, preferably with AI.

Aufgaben

• Analyze data from Core AI Services to identify trends and optimization opportunities.
• Develop and deploy predictive models and dashboards.
• Collaborate with product management to make data-backed recommendations.

Kenntnisse

Data analysis

Predictive modeling

Data visualization

Analytical skills

Problem-solving

Ausbildung

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field

Tools

Python

R

SQL

Tableau

Jobbeschreibung

As a leading company in the field of software solutions for healthcare, we operate in 19 countries and employ over 9,000 dedicated staff members. You will work in a dynamic and innovative environment full of opportunities. With your commitment and passion, you have the chance to make a lasting difference. Together, we are shaping the healthcare system of the future. Become part of our mission and make a difference – for a world where knowledge saves lives!

Your contribution :

• Analyze data from our Core AI Services to identify trends, patterns, and opportunities for optimization.

• Collaborate with product management to inform roadmap decisions with clear, data-backed recommendations.

• Develop and deploy predictive models, dashboards, and reporting tools to simplify complex data.

• Translate analytical findings into actionable insights that drive product and customer success.

• Continuously refine methods and processes to enhance the accuracy and efficiency of data analysis.

What you bring along :

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience in data analysis, predictive modeling, and data visualization (e.g., Python, R, SQL, Tableau).

• Strong analytical, problem-solving, and communication skills.

• Ability to translate complex data insights into clear business strategies.

• Experience in technology-driven environments; exposure to AI service ecosystems is a plus.

What you can expect from us :

• Mobile work : Work flexibly on the move two days a week and on site three days a week.

• Attractive locations: In addition to fully equipped workplaces, regular events such as summer parties and Christmas parties await you at our locations.

• Development: Our in-house academy and our portfolio of external co-operation partners will support you in your further development.

• Health: Health is a valuable asset for us. Our in-house canteen offers a selection of tasty and healthy dishes every day and we welcome you to our fully equipped fitness centre for weekly courses (online & offline).

• More is always possible : The kindergarten on our CGM campus in Koblenz helps our employees to organise their working day even more flexibly. We also offer corporate benefits, the option of a job bike, a company pension scheme and much more.

Diversity is part of CGM! We look forward to receiving your application regardless of disability, gender, nationality, ethnic and social background, religion, age, sexual orientation and identity.

Convinced? Apply online now with your detailed application documents (including salary expectations and earliest possible starting date).