Data Scientist

Vor 6 Tagen

Berlin, Berlin, Deutschland Gemma Analytics Vollzeit
About Gemma Analytics

At Gemma, we help our clients activate data by using state-of-the-art technology. Our clients make better choices and are empowered to make use of their data on their own. We are service-focused, yet also build open-source tools to deliver a more effective and efficient service. You can read more about our data philosophy here.
Our clients range from Series A ventures to SMEs with 30 to 13,000 employees per client. We have an honest, pleasant, and fun work environment.

About the job

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.
Who you are

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.
  • Our company language is English, but German is a big plus for client interactions.
  • Optional: Knowledge of data modelling and data engineering concepts to collaborate effectively with technical teams.
Gemma Perks

We are located in Berlin, close to Nordbahnhof. We are currently 19 colleagues and will grow to 22 colleagues until the end of the year. Other perks include:

  • We have an honest, inclusive work environment and want to nurture this environment.
  • We have frequent team events in Berlin: our cultural base.
  • We encourage workcations and even do workcations as a company - it is up to you to come to the office between one and five days a week.
  • 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 for further initiatives.
  • We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees.
  • We are fast-growing, 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, having a good time, and of course, solving complex data-related tasks.
How you'll get here
  • CV screening
  • Initial conversation
  • Hiring test
  • Interviews with 2-3 future colleagues
  • Reference calls
  • Offer + Hired
#J-18808-Ljbffr

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