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
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
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:
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
Please refer the Job description for details