Data Scientist
Tasks
- Advise on data science methodology
- Apply machine learning techniques
- Build and maintain data pipelines and transformations
- Conduct exploratory and descriptive analysis
- Design and execute A/B tests
- Develop predictive and statistical models
- Execute quasi experimental causal inference designs
- Lead impact analyses and program evaluations
- Own analysis ready data sets and data models
- Support development and testing of generative AI features
- Translate findings into actionable recommendations
- Uplevel data science and machine learning capabilities
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amazon Redshift | Amplitude | Apache Airflow | B testing | Bias and fairness | Braze | Causal Inference | Customer Relationship Management | Customer relationship | DBT | Data Governance | Data Modeling | Data Pipelines | Difference-in-differences | Experiment design | Fine Tuning | Fivetran | Google Analytics | Google BigQuery | Human-in-the-loop | Human-in-the-loop evaluation | LLM Evaluation | Machine Learning | Model Monitoring | Predictive Modeling | Privacy | Product Analytics | Production Data Pipelines | Production data | Prompt engineering | Python | R | Regression discontinuity | Relationship Management | Responsible AI | Retrieval-Augmented Generation | SQL | Salesforce | Snowflake
Education
N/A
Roles
Regions
Countries
States
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