Lead Data Scientist - Go-to-Market & Analytics (NY/Hybrid or Remote)
Tasks
- Develop and apply machine learning models
- Develop cross sell churn prevention forecasting and quota optimization models
- Develop customer targeting and segmentation models
- Ensure code quality and reproducibility
- Ensure model scalability and business relevance
- Establish modeling best practices
- Explore and integrate LLMs and AI capabilities
- Lead mentor and grow data science team
- Optimize marketing performance
- Oversee end to end data science workstreams
- Support business development with technical expertise
- Translate analytical outputs into executive insights
- Translate client needs into analytical approaches and offerings
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CRM | Data pipeline | Databricks | GCP | LLMs | Language Processing | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Pandas | Predictive Modeling | Python | R | SQL | Scikit-learn | Snowflake | Supervised Learning | Time Series | Unsupervised Learning
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
Cities
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