Senior Data Scientist
Tasks
- Build feature-store pipelines
- Collaborate with product analytics content engineering
- Convert business goals to machine learning solutions
- Deploy recommendation models
- Design recommendation models
- Develop embeddings
- Evaluate offline metrics
- Evaluate online metrics
- Manage MLflow model versioning
- Monitor model drift
- Retrain models
- Run A/B tests
- Train recommendation models
Perks/Benefits
- Annual bonus
- Birthday day off
- Childcare support
- Dental insurance
- Extended parental leave
- Extra paid time off
- Flexible benefits
- Health insurance
- Language school partnership
- Life insurance
- Mental health support
- Premium subscription
- Wellness program
Skills/Tech-stack
A/B | A/B Testing | ANN | AWS | Approximate Nearest Neighbors | Automl | B testing | CTR | Databricks | Embeddings | Experiment design | Faiss | Feature Store | LLM | LightGBM | MLOps | MLflow | Machine Learning | Model Evaluation | NDCG | NLP | Nearest neighbors | Prompt engineering | PyTorch | Python | Recall at K | SQL | Scikit-learn | Session Based Recommendation | Spark | Statistics | TensorFlow | Vector Databases | Vector Search | XGBoost
Education
N/A
Roles
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