Data
Data Scientist. Turns business questions into models and experiments that measurably move a metric.
Profile
- Area
- Data
- Skills
- Python, R, Statistics and experimentation, Machine learning, SQL, Data visualization, NLP, Storytelling with data
- Technologies
- pandas, scikit-learn, Jupyter, BigQuery, Snowflake, Databricks, Power BI, Looker, Hugging Face
What they do
- Frame business problems as data/ML problems
- Explore, clean and model data
- Build forecasting, churn, pricing and propensity models
- Design and read A/B tests and experiments
- Apply GenAI to unstructured data (text, documents)
- Communicate findings to decision makers