Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Experience with data science tech stack (e.g., Python) and database languages (e.g. SQL).
  

Preferred qualifications:

• PhD degree in Computer Science, Statistics, or other relevant quantitative disciplines, or an equivalent amount of machine learning experience.
  
• Familiarity with reporting solutions, and visualization/dashboarding tools.
• Proven ability to translate ambiguous business needs into clear technical requirements for impactful data products.
  
• Ability to take initiative with excellent leadership and communication skills.
  
• Comfortable with engineering best practices, including developing BRDs/PRDs/Design Docs, code reviews, etc., ensuring analytical accuracy.