Data Scientist

📋 Description

• Develop and refine machine learning models to solve critical business problems, such as predicting
• Own the development of time-series forecasts that guide our capacity planning and resource
• Lead the design and analysis of A/B tests and causal inference studies.
• Apply advanced statistical methods to complex datasets to find patterns that simple reporting might
• Work closely with Data Engineers to take your models from a local notebook to a production
• Translate complex statistical findings into clear, actionable narratives for non-technical

🎯 Requirements

• Strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression
• Fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy).
• Hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet
• Advanced SQL skills to wrangle data from Snowflake.
• Preferred Masters Degree or PhD in Data Science, Applied Science, or related fields.
• Understanding of data privacy best practices for handling PHI and PII.

🎁 Benefits

• Offers Equity
• $160K – $200K salary