Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du Machine Learning Modelle, setzt Generative und Agentic AI Lösungen um und führst statistische Analysen durch, um wertvolle Erkenntnisse zur Optimierung einer E-Commerce Plattform zu gewinnen.
Job Technologien
Deine Rolle im Team
- We are seeking a (Senior) Data Scientist (all genders) to join a dynamic team of six 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.
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- Demonstrate background exposure to e-commerce (ideal), fintech, or fast-paced agency environments.
- 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.
Erfahrung
- Bring a minimum of 3 years of hands-on experience in developing and deploying machine learning solutions for real-world business problems.
- 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.
Unser Angebot
- We offer you a permanent contract and cover the costs for your Deutschland ticket.
- 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.
- Actively shape your own career path by taking advantage of our internal and external training opportunities.
- We want to support you also during difficult times. For this, we offer you and your close relatives counseling sessions with mental health professionals.
- A wide range of sports options & discounts on memberships.
- Our "emergency-daycare" is there for you in out-of-the-ordinary situations to look after your child on site at our office.
- flaconi subsidizes your savings contribution to the company pension scheme with an additional 20%.
- High end technical equipment, fruits and drinks, no dress code and dogs are welcome in our office!
- Great discounts in our online shop as well with our partner companies, cool team events & company parties!
Benefits
Essen & Trinken
Work-Life-Integration
Mehr Netto
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Flaconi GmbH
Flaconi ist die Premium-Onlineparfümerie für Parfum und Beautyprodukte im deutschsprachigen Raum. Wir bieten eine riesige Auswahl an Marken-Parfums, Pflegeprodukten, Make-up, Naturkosmetik und professioneller Haarpflege. Neben einem perfekten Kundenservice, hochwertigem Design und einer intuitiven Shop-Bedienung machen vielseitige Produktinformationen den Einkauf bei Flaconi zu einem unvergesslichen Erlebnis.
Description
- Unternehmensgröße
- 50-249 Employees
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Handel, Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(2 Bewertungen)3.4
Culture
3.7Engineering
3.2Workingconditions
3.5Career Growth
3.2
Senior Data Scientist
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
