08.10.2025 aktualisiert
100 % verfügbar
Data Scientist with 9+ years experience in AI solutions and machine learning
Dresden, Deutschland
Dresden +250 km
Masters of Business AdministrationSkills
A/B TestingKünstliche IntelligenzAirflowBigqueryCloud ComputingClusteranalyseDatenbankenInformation RetrievalPythonMachine LearningRecommendersystemeTensorflowTransformerSQLGoogle CloudData SciencePytorchSnowflakeGitFastapiPandasScikit-learnHuggingFaceTerraformDocker
Programming Languages: Python (FastAPI, PyTorch, Tensorflow, Scikit Learn, CatBoost, Sentence Transformers, HuggingFace, pandas, polars), SQL (Hive, Exasol, BigQuery, Snowflake)
DevOps/Cloud Computing: Google Cloud Platform (GCP), MLFlow, Terraform, Airflow, Git, Docker
Data Science Tasks: A/B Testing, Reranking, Candidate Generation, Recommender Systems, Information Retrieval via Vector Databases (Pinecone), Classification, Clustering, Graph Embeddings
DevOps/Cloud Computing: Google Cloud Platform (GCP), MLFlow, Terraform, Airflow, Git, Docker
Data Science Tasks: A/B Testing, Reranking, Candidate Generation, Recommender Systems, Information Retrieval via Vector Databases (Pinecone), Classification, Clustering, Graph Embeddings
Sprachen
DeutschverhandlungssicherEnglischMuttersprache
Projekthistorie
ResearchGate is social website for researchers where publishers host their journal content
- Designed and led data science interview processes, and internal Machine Learning Journal Club
- Built AI model to detect scientific misconduct in research manuscripts, leading to publisher partnerships worth €450K and supporting ethical research dissemination
- Spearheaded relevance-based real-time feed rollout (Two-Tower model) from 4M to 30M users, improving engagement by 1.2× through real-time ML systems
- Overhauled job recommendations product on the platform with Neural Network model and LLM-as-a-Judge approach, improving job targeting for universities and similar institutes
- Collaborated cross-functionally to scope and execute ML features balancing speed, rigor, and interpretability
Blue Yonder is a software-as-a-service company, improving supply chains worldwide using AI
- Led MVP design and delivery of ML features for supply chain optimization, accelerating onboarding for enterprise clients
- Scaled distributed ML workflows across multiple time zones and regional store rollouts
- Co-organized Reinforcement Learning Supply Chain Tournament at PyData Global 2020
- Worked across engineering and product teams to prioritize client success metrics and rollout strategy
American Express is a multinational financial services corporation specializing in payment cards
- Built card attribution model to reduce churn by 21% through targeted retention campaigns
- Created merchant-interest embeddings from transactional data via Word2Vec, improving recommender precision by 15%