Technology, Information and Internet

Gemma Analytics

11-50

Germany

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)

1.  CV screening
2.  Initial conversation
3.  Hiring test
4.  Interviews with 2-3 future colleagues
5.  Reference calls
6.  Offer + Hired

Employee

Professional / Experienced

<p>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.</p>
<h2 id="tasks">Tasks</h2>
<p><strong>About the Job</strong></p>
<p>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.</p>
<p>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.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Build the Data Science vertical: Define and develop the capabilities, processes, and strategies to establish data science as a key service</li>
<li>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</li>
<li>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</li>
<li>Act as a trusted advisor, collaborating with clients to understand their challenges and deliver practical, impactful solutions </li>
<li>Stay hands-on with data engineering &amp; analytics – Work with SQL, Python (pandas, scikit-learn, NumPy), and modern cloud data stacks (Snowflake, BigQuery, Redshift) to prepare and process data for modeling</li>
<li>Keep up with emerging trends and tools in data science, leveraging them to improve client results and refine internal processes</li>
<li>Cultivate a collaborative and innovative team culture, mentoring junior team members as the vertical grows</li>
</ul>
<h2 id="requirements">Requirements</h2>
<p>You&#39;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.  </p>
<p>Besides that, we are looking for the following:</p>
<ul>
<li>5+ years of hands-on experience in Data Science, with a proven track record of leading and delivering real-world business-focused ML projects</li>
<li>An entrepreneurial spirit and the ability to work autonomously to build new initiatives  </li>
<li>Pragmatism in delivering solutions that balance technical sophistication with business feasibility</li>
<li>Proficiency in Python, SQL, and data science libraries; experience with cloud platforms (AWS, GCP, Azure) is a plus  </li>
<li>Experience deploying models in production environments that interact with modern data warehouses and cloud-based ML services</li>
<li>Excellent communication skills, with the ability to explain complex concepts to diverse audiences</li>
<li>Optional: Knowledge of data modeling and data engineering concepts to collaborate effectively with technical teams.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<p>We are located in Berlin, close to Nordbahnhof. We are currently 19 colleagues and will grow to 22 colleagues this year. Other perks include:</p>
<ul>
<li>We are a hybrid company that meets in the office twice a week - one common office day and one flexible day</li>
<li>We allow for intra-EU workcations for up to 3 months a year (extra-EU workcations also if this is allowed)</li>
<li>We have an honest, inclusive work environment and want to nurture this environment</li>
<li>We don’t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective</li>
<li>We will surround you with great people who love to solve (mostly data) riddles</li>
<li>We believe in efficient working hours rather than long working hours - we focus on the output rather than the input</li>
<li>We learn and share during meetups, lunch &amp; learn sessions and are open to further initiatives</li>
<li>We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees</li>
<li>We are fast-growing and have technology at our core, yet we do not rely on a VC and operate profitably</li>
<li>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)</li>
</ul>
<ol>
<li>CV screening</li>
<li>Initial conversation</li>
<li>Hiring test</li>
<li>Interviews with 2-3 future colleagues</li>
<li>Reference calls</li>
<li>Offer + Hired</li>
</ol>


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