{"id":379438,"title":"Data Scientist (all genders)","company":"JobRad GmbH","city":"Berlin","region":"Berlin","location":"Berlin, Berlin","work_model":"unknown","employment_type":"unknown","employment":["full_time"],"roles":["data_science"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-11-09T04:27:52.170789+00:00","tools":["Databricks","AWS","Google Cloud","Azure","MLOps","SQL","Python","Spark"],"seniority":"mid","years_experience_min":3,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"English ad, no German stated","badge_key":"english_ad","language_evidence":null,"requirements_snippet":"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 …","url":"https://jobrad.de/job/data-scientist-all-genders/","source":"careersite","agency":null,"description_text":"📍 Jobs in Ihrer Nähe per GPS\nIT · Homeoffice · Marketing · Sales\n14 Tage kostenlos für Firmen\nNeue Jobs täglich\nFirmenprofil ab 29€/Monat\n📍 Jobs in Ihrer Nähe per GPS\nIT · Homeoffice · Marketing · Sales\n14 Tage kostenlos für Firmen\nNeue Jobs täglich\nFirmenprofil ab 29€/Monat\n\nj\njobrad.de\n\nF\n\nData Scientist (all genders)\n\nFlaconi\n\nBerlin, Berlin\nvor 13 Stunden\n\nMit jobrad bewerben Ohne Konto direkt bei Arbeitnow bewerben ↗\n\nStellenbeschreibung\n• Berlin, Berlin\n• Veröffentlicht vor 13 Stunden\n\nFlaconi\n\nAt 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.\n\nflaconi 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.\n\nIf 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.\n\nWe 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.\n\nYour Role\n• Employ statistical techniques and machine learning algorithms for regression, classification, and clustering (e.g., Gradient Boosting, Random Forest, Hierarchical Clustering, ensemble methods).\n• Develop and productionalize Generative AI and Agentic AI solutions alongside modern NLP techniques using transformer architectures (e.g., BERT, GPT).\n• Utilize time-series forecasting methods (e.g., ARIMA, LSTM, DeepAR, Prophet) for predictive modeling.\n• Conduct exploratory data analysis (EDA), advanced feature engineering, and dimensionality reduction (PCA, t-SNE).\n• Develop and implement deep learning models in PyTorch, TensorFlow, or Keras while leveraging transfer learning strategies.\n• 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.\n• 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.\n\nYour Profile\n• Bring a minimum of 3 years of hands-on experience in developing and deploying machine learning solutions for real-world business problems.\n• Demonstrate background exposure to e-commerce (ideal), fintech, or fast-paced agency environments.\n• Demonstrate hands-on experience with Databricks as a Data & AI platform (required) alongside cloud platforms such as AWS, GCP, or Azure.\n• Prove hands-on experience in building, productionalizing, and deploying Generative AI or Agentic AI solutions.\n• Apply hands-on experience with MLOps practices and tools (required) for end-to-end model lifecycle management.\n• 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).\n• 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.\n\nWhat We Offer\n• Our employees matter to us: We offer you a permanent contract and cover the costs for your Deutschland ticket.\n• 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.\n• flaconi Academy: Actively shape your own career path by taking advantage of our internal and external training opportunities.\n• 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.\n• flaconi fitness: a wide range of sports options & discounts on memberships.\n• 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.\n• Thinking about tomorrow together: flaconi subsidizes your savings contribution to the company pension scheme with an additional 20%.\n• 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!\n• Other perks: Great discounts in our online shop as well with our partner companies, cool team events & company parties!\n\nCheck out all benefits HERE.\n\nFounded 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 and salary expectations.flaconi will not accept unsolicited resumes from any source (e.g. recruitment agency) other than directly from a candidate.\n\nAI Notice\n\nWe use AI-powered tools to streamline and support individual steps in our recruiting process. For example, these tools help our recruiting team identify suitable candidates, prioritize applications, and gain insights relevant to recruiting. The AI does not make any hiring decisions. Every application is reviewed and evaluated by people, and all hiring decisions are made under human supervision and responsibility. Our AI system is regularly reviewed for potential biases and holds ISO 42001 certification for AI governance. If you have any questions about our use of AI or would like an explanation of the criteria, please feel free to contact our Talent Acquisition team at —– at any time.\n\nThe offered salary will always be within this range and is based on the outcomes of the recruitment process.\n\nSalary range (annual brutto)\n€60.000—€80.000 EUR\n\nFind Jobs in Germany on Arbeitnow\n\nUm dich für diesen Job zu bewerben, besuche bitte www.arbeitnow.com.\n\nQuelle: Arbeitnow\n\nInteresse geweckt?\nBewerbung in deinem jobrad-Konto merken, Unterlagen bereitlegen und weiter zur Bewerbung bei Arbeitnow.\n\nMit jobrad bewerben Ohne Konto direkt bei Arbeitnow bewerben ↗\n\n🏢\nIst das Ihre Stellenanzeige?\nÜbernehmen Sie diese Anzeige kostenlos auf jobrad.de. Danach gehen Bewerbungen direkt an Sie, und Sie können die Anzeige selbst bearbeiten.\nAls Unternehmen registrierenSchon registriert? Anmelden\n\n📍 Mehr Jobs in der NäheAlle Jobs in Berlin ›\n\nJob-Details\n\nUnternehmen\nFlaconi\n\nStandort\nBerlin, Berlin\n\nLäuft ab\n08.12.2026\n\nKategorie\nIT & Tech\n\nJob teilen\n\nin LinkedIn\n\n💬 WhatsApp\n\n𝕏 Twitter\n\n← Alle Jobs ansehen\n\n🍪 Cookie-Einstellungen\n\nWir nutzen Cookies für Statistiken und Verbesserungen. Mit Klick auf „Alle akzeptieren\" stimmst du der Nutzung zu.\nDatenschutz ·\nImpressum\n\nCookie-Einstellungen\n\nNotwendige Cookies\n\nImmer aktiv\n\nAnmeldung, Sitzung und das Speichern Ihrer Cookie-Auswahl. Ohne diese Cookies funktioniert die Seite nicht.\n\nStatistik-Cookies\n\nGoogle Analytics 4 – zeigt uns, wie die Seite genutzt wird. Daten können an Google in den USA gehen (EU-US Data Privacy Framework). Details in der Datenschutzerklärung.\n\nDatenschutzerklärung","responsibilities_text":"• Berlin, Berlin\n• Veröffentlicht vor 13 Stunden\nFlaconi\nAt 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.\nflaconi 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.\nIf 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.\nWe 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.\n• Employ statistical techniques and machine learning algorithms for regression, classification, and clustering (e.g., Gradient Boosting, Random Forest, Hierarchical Clustering, ensemble methods).\n• Develop and productionalize Generative AI and Agentic AI solutions alongside modern NLP techniques using transformer architectures (e.g., BERT, GPT).\n• Utilize time-series forecasting methods (e.g., ARIMA, LSTM, DeepAR, Prophet) for predictive modeling.\n• Conduct exploratory data analysis (EDA), advanced feature engineering, and dimensionality reduction (PCA, t-SNE).\n• Develop and implement deep learning models in PyTorch, TensorFlow, or Keras while leveraging transfer learning strategies.\n• 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.\n• 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.","requirements_text":"• Bring a minimum of 3 years of hands-on experience in developing and deploying machine learning solutions for real-world business problems.\n• Demonstrate background exposure to e-commerce (ideal), fintech, or fast-paced agency environments.\n• Demonstrate hands-on experience with Databricks as a Data & AI platform (required) alongside cloud platforms such as AWS, GCP, or Azure.\n• Prove hands-on experience in building, productionalizing, and deploying Generative AI or Agentic AI solutions.\n• Apply hands-on experience with MLOps practices and tools (required) for end-to-end model lifecycle management.\n• 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).\n• 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.","status":"open","duplicate_of":null,"first_seen":"2026-11-09T04:27:52.170789+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Databricks","AWS","Google Cloud","Azure","MLOps","SQL","Python","Spark","scikit-learn","NumPy","pandas","NLP","PyTorch","TensorFlow","Keras","LightGBM","S3","EC2","SageMaker","GitHub","Google Analytics"],"posting_language":"en","evidence":[{"language":"english","requirement":"required","quote":"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.","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-9","english_badge":"English required","company_id":42870}