- +3
- +30
- Germany
Über
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 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.
TITL1_DE
Wünschenswerte Fähigkeiten
- Deep Learning
- TensorFlow
- Python
- PyTorch
- Scikit-learn
- Numpy
- API
- Keras
- Machine Learning
- Training
- Forecasting
- SQL
- Data Science
- E-commerce
- Git
- Classification
- Machine Learning
- Classification
- Computer Vision
- PyTorch
- TensorFlow
- Keras
- Python
- SQL
- AWS
- Github
- PySpark
- Scikit-learn
- Numpy
- Pandas
Berufserfahrung
- Fullstack
- Machine Learning
- Computer Vision
Sprachkenntnisse
- English