Senior Data Scientist (Availability)

Tasks

• Create datasets and data requirements with data engineers
• Create text and image embeddings
• Deploy models to production with Python services
• Design and analyze A/B tests
• Detect drift and degradation and implement improvement plans
• Develop and train classic machine learning and deep learning models
• Evaluate models offline and perform error analysis
• Lead end-to-end machine learning projects
• Monitor model quality and performance after launch
• Support releases and integrate models

Perks/Benefits

• Conference and training compensation
• Corporate hotel and travel discounts
• Flexible work schedule
• Hybrid work model
• Internal training programs
• Language learning support
• MyTime Day Off
• Remote work option
• Work-life balance support

Skills/Tech-stack

A/B | A/B Testing | B testing | DVC | Data Drift | Deep learning | Experiment tracking | Image embeddings | MLflow | Machine Learning | Model Interpretability | Model Monitoring | PyTorch | Python | SQL | TensorFlow | Text Embeddings | Weights and Biases