Data Scientist (all genders)

At flaconi, we believe that diversity fuels creativity, innovation and growth. It thrives in all its forms of beauty. Our team is a mosaic of individuals from different backgrounds, cultures and life journeys, all united by a shared passion for beauty. Our commitment is grounded in our core values, particularly #trustinpeople. We hold ourselves accountable for creating an environment where every employee feels honestly valued, heard and empowered to contribute their unique perspectives to foster belonging.

flaconi is an equal opportunity employer and welcomes and encourages all qualified  from all backgrounds and identities, regardless of ethnicity, race, gender identity, migration background, national origin, disability status, sexual orientation, religion, or age to apply. 

If you require specific support during the application or interview process – e.g. live captions, more time for the interview or the task in a different format – just let us know so that we can adapt the process accordingly. We will do our best to make this possible.

We are seeking a (Senior) Data Scientist (all genders) to join a dynamic team of five within our DATA department. You'll dive into diverse challenges including training and deploying machine learning models, developing Generative AI and Agentic AI solutions, and statistical modeling. We believe in flat hierarchies, which means you'll work closely with colleagues of various seniorities in a fun environment. You'll play a key role in extracting valuable insights and developing data and AI solutions to optimize our e-commerce platform across Europe, taking end-to-end ownership of your projects and collaborating closely with business stakeholders along the way. Your contributions will have a direct impact on business decisions and process efficiency across a wide spectrum of unique use cases.

Your Role

• Employ statistical techniques and machine learning algorithms for regression, classification, and clustering (e.g., Gradient Boosting, Random Forest, Hierarchical Clustering, ensemble methods).
• Develop and productionalize Generative AI and Agentic AI solutions alongside modern NLP techniques using transformer architectures (e.g., BERT, GPT).
• Utilize time-series forecasting methods (e.g., ARIMA, LSTM, DeepAR, Prophet) for predictive modeling.
• Conduct exploratory data analysis (EDA), advanced feature engineering, and dimensionality reduction (PCA, t-SNE).
• Develop and implement deep learning models in PyTorch, TensorFlow, or Keras while leveraging transfer learning strategies.
• Showcase your skills across key e-commerce data science use cases including demand forecasting, churn and CLTV modeling, pricing, customer segmentation, recommender systems, and personalization.
• Handle large-scale datasets using distributed computing frameworks (Apache Spark) on a tech stack comprising Python (PySpark, pandas, NumPy, scikit-learn, LightGBM), SQL, Databricks (Data Lakehouse & ML platform), AWS (S3, Lambda, EC2, SageMaker, Bedrock), GitHub, and AI-augmented tools (Claude, Copilot) while collaborating directly to proactively address stakeholder business needs.

Your Profile

• Bring a minimum of 3 years of hands-on experience in developing and deploying machine learning solutions for real-world business problems.
• Demonstrate background exposure to e-commerce (ideal), fintech, or fast-paced agency environments.
• Demonstrate hands-on experience with Databricks as a Data & AI platform (required) alongside cloud platforms such as AWS, GCP, or Azure.
• Prove hands-on experience in building, productionalizing, and deploying Generative AI or Agentic AI solutions.
• Apply hands-on experience with MLOps practices and tools (required) for end-to-end model lifecycle management.
• Possess a strong grasp of core data science principles to select the most appropriate techniques, combined with advanced proficiency in SQL, Python (PySpark, scikit-learn, NumPy, matplotlib, pandas), and AI-augmented development tools (Claude, Copilot).
• Communicate exceptionally in English (written and verbal) to articulate complex concepts to non-technical stakeholders, driving projects with full end-to-end ownership as a collaborative team player.

What We Offer

• Our employees matter to us: We offer you a permanent contract and cover the costs for your Deutschland ticket.
• Work-life balance: 29 vacation days plus additional days off on the 24th and 31st December, flexible working hours, up to three days of working from home per week, working abroad options, paid sabbatical.
• flaconi Academy: Actively shape your own career path by taking advantage of our internal and external training opportunities.
• We care about your well being: We want to support you also during difficult times. For this, we offer you and your close relatives counseling sessions with mental health professionals.
• flaconi fitness: a wide range of sports options & discounts on memberships.
• Family first: Our “emergency-daycare” is there for you in out-of-the-ordinary situations to look after your child on site at our office.
• Thinking about tomorrow together: flaconi subsidizes your savings contribution to the company pension scheme with an additional 20%.
• A comfortable working space with everything you need: High end technical equipment, fruits and drinks, no dress code and dogs are welcome in our office!
• Other perks: Great discounts in our online shop as well with our partner companies, cool team events & company parties!

Check out all benefits HERE.