Senior Data Scientist

Tasks

• Apply deep learning methods for analytical problem solving
• Collaborate with stakeholders to define and deliver data science solutions
• Communicate analysis vision and roadmap
• Design scalable machine learning solutions
• Develop machine learning models for transaction anomaly detection
• Manipulate large datasets using statistical and technical techniques
• Present technical findings to business leaders
• Train machine learning models for transaction classification and risk modeling
• Validate implement monitor and improve machine learning model performance

Perks/Benefits

• N/A

Skills/Tech-stack

CatBoost | Clustering | Data Engineering | Data Visualization | Deep learning | Docker | Event Streaming | Kubernetes | LSTM | Language Processing | Latent Dirichlet Allocation | LightGBM | Logistic Regression | Machine Learning | Multinomial Logistic Regression | NLP | Natural Language | Natural Language Processing | Pandas | Python | REST APIs | RNN | Random Forest | SQL | SVM | Scikit-learn | Segmentation | Statistical modeling | TensorFlow | Transformer | XGBoost