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 candidates from all backgrounds and identities, regardless of ethnicity, race, gender identity, migration background, national origin, disability status, sexual orientation, religion, or age to apply.
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 of machine learning models, statistical analysis, and predictive analytics. We believe in flat hierarchies, which means that you'll work closely with colleagues of various seniorities in a fun environment. You'll play a crucial role in extracting valuable insights and developing data-driven solutions to optimize our e-commerce platform across Europe. Your contributions will have a direct impact on business decisions and process efficiency across a wide spectrum of unique use-cases. This role offers excellent end-to-end ownership, learning and mentoring opportunities in a collaborative, impact-driven setting with strong team spirit, allowing you to further grow your expertise while making a tangible difference.
Your roleLead end-to-end flaconi’s use-cases including demand forecasting, churn & CLTV modeling, pricing, customer segmentation, recommender systems, and personalizationApply statistical and machine learning techniques for regression, classification, clustering, NLP, Computer Vision, and time-series forecastingDevelop and deploy deep learning models using PyTorch, TensorFlow or Keras, including transfer learning approachesBuild and maintain scalable MLOps workflows on the Databricks platform to ensure a seamless Data Science lifecycleHandle large-scale datasets using distributed computing frameworks like Apache SparkDevelop APIs and integrations for model serving and interaction with external systems and servicesCollaborate with stakeholders to understand and address business needs; mentor junior colleagues and foster data literacy through internal trainingsWork with our core tech stack: Python, SQL, Databricks, AWS, GitHub — and stay up to date with the latest trends in data science and e-commerceYour profile3+ years of proven experience developing and deploying machine learning solutions in real-world business settings, ideally at scaleDeep understanding of core data science concepts, with the ability to independently select and apply the most effective techniques (e.g., regression, classification, clustering)Advanced proficiency in Python (including PySpark, scikit-learn, NumPy, pandas, matplotlib) and SQLHands-on experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with Databricks as a Data & AI platformPractical experience with MLOps tools and workflows for production-grade model lifecycle managementExposure to the e-commerce domain and experience with building or deploying Generative AI solutions is a strong plusStrong communication skills in English, with the ability to influence and explain complex concepts to both technical and non-technical stakeholdersA proactive team player who takes full ownership of projects, contributes to team development, and mentors junior colleaguesWhat we offer youFull transparency: For this role, we have a salary band between 75,000€ and 95,000€ gross per year. The salary that we will offer you will always be within this span and is based on the skills that you show during the recruitment process.Our employees matter to us: We offer you a permanent contract and will cover the costs for your BVG or Deutschland ticket.Work-life balance: 29 vacation days plus 2 additional days off on the 24th and 31st December, flexible working hours, up to three days of working from home a week and the possibility of a 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!About flaconi
flaconi is one of Germany’s leading online beauty retailers with an extensive portfolio of almost 1000 brands and 50.000 products. From drugstore over organic cosmetics to premium and luxury, the online shops in Germany, France, Austria, Poland and Switzerland cover all product segments and offers a diverse selection of products for a unique and daily beauty routine.
Founded in 2011 as one of the first online perfumeries, flaconi is honored to work with more than 700 people from 60 different nations at the flaconi headquarters in Berlin-Charlottenburg and its fulfillment center in Halle.
Shape our company’s success with us and apply now online! We look forward to receiving your complete application documents including your earliest starting date.
flaconi will not accept unsolicited resumes from any source (e.g. recruitment agency) other than directly from a candidate.
