Machine learning scientist Jobs in Am Mellensee

Intro 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. Responsibilities : 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. Besides that, we are looking for the following : 5+ years of hands-on experience in Data Science, with a proven track record of leading and delivering real-world business-focused ML projects An entrepreneurial spirit and the ability to work autonomously to build new initiatives Pragmatism in delivering solutions that balance technical sophistication with business feasibility Proficiency in Python, SQL, and data science libraries; experience with cloud platforms (AWS, GCP, Azure) is a plus Experience deploying models in production environments that interact with modern data warehouses and cloud-based ML services Excellent communication skills, with the ability to explain complex concepts to diverse audiences Optional : Knowledge of data modeling and data engineering concepts to collaborate effectively with technical teams. Benefits We are located in Berlin, close to Nordbahnhof. We are currently 19 colleagues and will grow to 22 colleagues this year. Other perks include : We are a hybrid company that meets in the office twice a week - one common office day and one flexible day We allow for intra-EU workcations for up to 3 months a year (extra-EU workcations also if this is allowed) We have an honest, inclusive work environment and want to nurture this environment We don’t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective We will surround you with great people who love to solve (mostly data) riddles We believe in efficient working hours rather than long working hours - we focus on the output rather than the input We learn and share during meetups, lunch & learn sessions and are open to further initiatives We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees We are fast-growing and have technology at our core, yet we do not rely on a VC and operate profitably We have a great yearly offsite event that brings us all together for a full week, enjoying good food, and having a good time (2021 : Austria, 2022 : Czech Republic, 2023 : Germany, 2024 : Germany) Closing CV screening Initial conversation Hiring test Interviews with 2-3 future colleagues Reference calls Offer + Hired