Data Scientist
Tasks
- Architect and deploy Python production workflows
- Build and evaluate predictive models
- Collaborate with cross-functional stakeholders
- Communicate analytical findings to stakeholders
- Convert operational data into strategic insights
- Create Metabase dashboards
- Detect data leakage
- Engineer features and benchmarks
- Iterate based on operational usage
- Maintain analytics infrastructure
- Perform ad hoc exploratory investigations
- Produce recurring performance reports
- Reconcile source data
- Transition research concepts into production releases
- Translate ambiguous questions into predictive models
- Write optimized SQL queries
Perks/Benefits
- Career acceleration
- Direct exposure to founders and executives
- High autonomy
- Work onsite in New York City
Skills/Tech-stack
Data Enrichment | Data Pipelines | Data leakage | Data leakage detection | Entity Scoring | Feature Engineering | LLM Evaluation | Language Models | Large Language Models | Leakage detection | Machine Learning | Metabase | Model Evaluation | Notebook environments | Predictive Modeling | Production Deployment | Python | REST API | SQL
Education
N/A
Roles
Analytics | Analytics Engineer | Data Scientist | Engineer | Scientist
Regions
Countries
States
Cities
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