We are Gemma Analytics: a Berlin-based company specializing in generating insights in high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since, we have helped over 70 companies to become more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.
Tasks
About the Job
At Gemma Analytics, we help businesses unlock the power of data to drive smarter decisions. As we expand our capabilities in data science, we’re looking for a (Principal) Data Scientist to take the lead in shaping and scaling this new vertical.
This is a unique opportunity for a pragmatic and business-focused data scientist who thrives in delivering real-world impact rather than research-driven models. You’ll work hands-on with machine learning, advanced analytics, and AI-driven solutions—while also collaborating with clients and stakeholders to align data science initiatives with business goals.

• Build the Data Science vertical: Define and develop the capabilities, processes, and strategies to establish data science as a key service
• Lead end-to-end data science projects – From problem identification to deployment and impact measurement, ensuring models are practical, scalable, and aligned with business needs
• Develop and deploy machine learning models – Expertise in supervised and unsupervised ML techniques (e.g., regression, classification, clustering) and their application in areas like demand forecasting, churn prediction, and pricing optimization
• Act as a trusted advisor, collaborating with clients to understand their challenges and deliver practical, impactful solutions
• Stay hands-on with data engineering & analytics – Work with SQL, Python (pandas, scikit-learn, NumPy), and modern cloud data stacks (Snowflake, BigQuery, Redshift) to prepare and process data for modeling
• Keep up with emerging trends and tools in data science, leveraging them to improve client results and refine internal processes
• Cultivate a collaborative and innovative team culture, mentoring junior team members as the vertical grows
  Requirements
  You’re not just a Data Scientist—you’re a builder, problem-solver, and strategic thinker who knows how to balance technical sophistication with business impact.