Hi, we are AMBOSS, and we're looking for a product-minded Senior Data Scientist to join our Learning Analytics team!

About AMBOSS

AMBOSS is the copilot for medical professionals, empowering them to provide the best possible care through our learning and clinical decision support tool. Our team brings together care, innovative thinking, and cutting-edge AI medical technology. Our founders launched AMBOSS in 2012 with the goal of creating a tool they wished they had during medical school and clinical practice. Since then, we've grown to over 600 employees and are active in over 180 countries - primarily in Germany and the US. Our offices are located in Berlin, Cologne, New York, and Cagliari.

Want to learn more about our culture? Watch our video to explore what makes us unique

You will:

• Take full ownership of our adaptive learning stack—shaping how learners progress, grow, and succeed throughout their journey.

• Craft smart, innovative algorithms that power personalized learning paths, tailored recommendations, and meaningful real-world performance insights.

• Dive into our rich, rapidly expanding datasets to uncover clear, actionable, and transparent insights that elevate medical education.

• Help us reach new learners by expanding our platform into fresh markets and new user segments.

• Build trust and enthusiasm with learners and educators by openly sharing how our personalization magic works.

• Partner closely with engineers, product managers, medical editors, and teammates from across the company to bring big ideas to life.

• Champion excellence by upholding high standards for code quality, reliability, and maintainability across all systems.

You bring:

• Proven expertise with Python and its data science ecosystem (scikit-learn, pandas, etc).

• Strong understanding of applied statistics, including topics relevant to psychometrics like regression, sample size, etc.

• Experience delivering real-time predictive analytics to users.

• A product mindset, with the ability to identify opportunities, experiment quickly, and maximize user value.

• Commitment to software best practices, such as unit tests, version control, CI/CD, etc.

• Demonstrated strong problem-solving and analytical abilities, with a track record of addressing complex technical challenges effectively.

• Excellent verbal and written communication skills in English, capable of articulating technical concepts clearly and effectively to various stakeholders.

You’ll love this role if you…

• Get excited about building core data science engines—from score prediction to smart recommendations—and want to see your algorithms directly shape how people learn.

• Enjoy working hand-in-hand with engineers to make sure the systems you design are fast, reliable, and built to scale in the real world.

• Think strategically about impact, whether that means helping us enter new markets, strengthening our marketing signals, or designing data pipelines that grow with us.

• Thrive at the intersection of data science, engineering, and product, using a product mindset to spot opportunities, prioritize what matters most, and deliver high-value solutions.

Benefits

AMBOSSians tell us that innovative work keeps them energized and employee benefits help them to feel appreciated and empowered. We invest in every AMBOSSian with our employee benefits package, crafted to support financial, physical, and mental health, and work-life harmony.

Check out all of our employee benefits below:

We believe that diversity is a powerful driver of innovation and progress. That’s why we are committed to fostering an inclusive, respectful, and supportive environment where everyone—regardless of gender, age, ethnic or cultural background, religion, disability, sexual orientation, gender identity—is valued and given equal opportunity to thrive. We warmly welcome people of all backgrounds to help us fulfil our mission: empowering all medical professionals to provide the best possible care

Even if you don’t meet every single point in the job description, we still encourage you to apply. We’d love to hear from you!