Lead Data Scientist
Tasks
- Apply NLP for text cleaning and normalization
- Build decision science technical roadmaps
- Build propensity and lookalike models
- Conduct causal inference for experimentation
- Deploy and operationalize machine learning models
- Design A/B testing
- Develop attribution measurement frameworks
- Develop audience selection and segmentation models
- Develop predictive/classification models
- Ensure model governance and reproducibility
- Establish responsible AI best practices
- Improve data consistency and cleanliness
- Lead data science initiatives
- Lead experimentation strategy
- Monitor model performance and retrain
- Perform incrementality measurement
- Perform regression modeling
- Provide technical mentorship to data scientists
Perks/Benefits
- 401k match
- Dental insurance
- Fertility benefits
- Financial wellness programs
- Medical insurance
- Mental wellness programs
- Paid Holidays
- Parental leave
- Pet insurance
- Sick leave
- Supplemental life insurance
- Unlimited vacation
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon Redshift | Attribution Modeling | B testing | Causal Inference | Classification | Cloud platform | Databricks | Deep learning | Experimentation | Feature Engineering | Feature Store | Forecasting | Generative AI | Google Cloud | Google Cloud Platform | Incrementality Measurement | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Optimization | Pandas | PostgreSQL | PySpark | PyTorch | Python | Regression | Reproducibility | Retraining | Scikit-learn | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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