(Principal) Data Scientist at Gemma Analytics
10178 Berlin, Mitte, Germany -
Full Time


Start Date

Immediate

Expiry Date

20 May, 25

Salary

0.0

Posted On

20 Feb, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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. Please make reference calls on us for validation :)

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

ABOUT US

We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming 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

Responsibilities

Please refer the Job description for details

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