Director, Data Science - Central Product Platform (CPP)
USD 253K-314K (estimate) Executive-level Full Time
Tasks
- Apply causal inference methods
- Apply statistical rigor
- Build forecasting systems
- Create measurement frameworks and success metrics
- Define analytical strategy
- Define data collection methodology
- Design A/B testing frameworks
- Design self service data exploration interfaces
- Develop predictive models
- Establish analytical best practices
- Frame business problems with hypotheses
- Lead large scale experimentation
- Mentor data scientists
- Partner with executives on data driven decisions
- Redesign analytical workflows with AI tools
- Standardize data visualizations
- Synthesize quantitative analyses into narratives
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Agent Orchestration | Apache Hive | Apache Spark | B testing | Bias Mitigation | Causal Inference | Data Processing | Data Querying | Data Visualization | Data collection | Distributed data | Distributed data processing | Experiment design | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Predictive Modeling | Presto | Prompt engineering | Responsible AI | Series analysis | Series forecasting | Statistical Analysis | Time Series | Time Series Analysis | Time Series Forecasting
Education
Roles
Data Science | Data Science Lead | Data Scientist | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Science Lead | Scientist
Regions
Countries
States
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