Senior Data Scientist (all genders)

Allegis Group Gmbh – Bereich TEKsystems
Contact person: Nora Mohaui
Berlin,  Germany
100% remoteFreelanceasapDuration 7 months100% workload
ITAgile MethodologyArtificial IntelligenceAmazon Web ServicesData AnalysisServicio al ClienteDevOpsE-CommerceEngineeringPython (Programming Language)DataOpsWorkflowsCloud Platform SystemPyTorchLarge Language ModelsDeep LearningXgboost

Description

Opportunity: Senior Data Scientist – Trust & Safety (all genders)

A major player in Germany’s e-commerce space is strengthening its Trust & Safety efforts to protect millions of users. They’re seeking a Senior Data Scientist (all genders) to join a dynamic, cross-functional team focused on building robust ML systems that detect fraud and assess user risk in real time.



What You’ll Do

  1. Develop and deploy scalable ML models for fraud detection and behavioral analysis
  2. Partner closely with Product, Engineering, Analytics, and Customer Service teams
  3. Apply both classical and deep learning techniques (e.g., XGBoost, Random Forests, Transformers)
  4. Promote fairness, transparency, and reproducibility in AI systems
  5. Help define the future of Trust & Safety in digital marketplaces


What You Bring

  1. 5+ years of experience in developing and deploying ML models
  2. Strong Python skills and proficiency with libraries like scikit-learn, PyTorch, and XGBoost
  3. Hands-on experience with LLMs for classification and signal extraction
  4. Familiarity with cloud platforms (especially AWS and SageMaker) and production ML workflows
  5. Excellent communication and a collaborative mindset


Bonus Points For

  1. Prior experience in fraud detection or Trust & Safety domains
  2. Exposure to Agile methodologies and DevOps/DataOps practices
  3. Understanding of ethical and regulatory aspects of AI


Additional Requirements

  1. 5+ years of experience with AWS
  2. 5+ years of experience with PyTorch
  3. 5+ years of experience with Python
  4. Available to start immediately
  5. Comfortable working in a hybrid setup


Application form