Lead Data Scientist - Merchandising & Pricing (REMOTE)
Tasks
- Build classification regression and clustering models
- Build demand forecasting models
- Collaborate with product and engineering for data transformation
- Create feature stores and vector embeddings
- Deploy machine learning and deep learning forecasting models
- Design and execute A/B testing experiments
- Develop assortment optimization algorithms
- Develop price elasticity and causal inference models
- Implement NLP and GenAI pipelines for product attributes
- Influence technical strategy for AI and machine learning systems
- Lead data science algorithm design and implementation
- Monitor model drift and retrain models
- Perform counterfactual analyses for pricing and promotions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Assortment optimization | Azure ML | B testing | CI/CD | Causal Inference | Classification | Clustering | Databricks | Deep learning | Demand forecasting | Experiment tracking | Feature Engineering | Feature Store | GCP | Generative AI | LSTM | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Model retraining | NLP | Natural Language | Natural Language Processing | OpenAI | Price elasticity | PyTorch | Python | Regression | TensorFlow | Transformers | Vector embeddings | Vertex AI
Education
Roles
Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
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