Lead Data Science Engineer
Tasks
- Build and validate AI ML use cases
- Build data pipelines
- Build functional MVPs
- Collaborate with product and engineering teams
- Create proofs of concept
- Cross pollinate best practices across ventures
- Develop and deploy machine learning models
- Develop prototypes and proof of concepts
- Lead data science analytics and data engineering
- Mentor early-stage venture teams
- Monitor data and machine learning performance
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amazon Web Services | Azure | B testing | Classification | Cloud Native | Cloud Native Architecture | Cloud platform | DBT | Data Engineering | Data Pipelines | Data Warehouse | Database | Databricks | Docker | Fivetran | Google Cloud | Google Cloud Platform | Gradient boosting | Infrastructure as Code | Kubernetes | Linear Regression | Logistic Regression | Machine Learning | Model Deployment | Model Monitoring | Python | Random Forest | Reinforcement Learning | Snowflake | Terraform | Web Services | “as-code”
Education
N/A
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