Principal Data Scientist

📋 Description

• Develop global analytic solutions and statistical models per DB practices.
• Research business issues and recommend model features and outputs.
• Create features using internal/external data; serve as SME.
• Apply ML and NLP to automate processes and scale capabilities.
• Establish and maintain strong relationships with key stakeholders.
• Serve as SME on predictive models; consult with business users.

🎯 Requirements

• Master's degree or PhD preferred in quantitative/applied fields.
• 12+ years of data science experience.
• Knowledge of big data, NLP, feature engineering, regression and non-regression methods.
• Proficiency in Python, R, SAS, Spark, PySpark and SQL.
• Ownership mindset; strategic with execution; lead initiatives.
• English fluency; additional market languages as applicable.

🎁 Benefits

• Generous paid time off in your first year, increasing with tenure.
• Up to 16 weeks paid parental leave after one year.
• Paid sick time to care for yourself or family members.
• Education assistance and extensive training resources.
• Do Good Program: Paid volunteer days and donation matching.
• Competitive 401k with company matching.