Minimum qualifications:

• Bachelor's degree in a quantitative discipline or equivalent practical experience.
  
• 6 years of industry experience, with 4 years in machine learning, statistical modeling, statistical software (e.g., Python, R), and database languages (e.g., SQL).
• Experience working in a cross-functional setting, managing the full lifecycle of projects, and coaching members in managing their own projects.
  

Preferred qualifications:

• Master's degree or PhD in a quantitative discipline (e.g., Statistics, Computer Science, Math, Engineering) or equivalent practical experience.
  
• Experience with both supervised and unsupervised learning (e.g., time series forecasting, clustering, classification) or Big Data techniques (e.g., Spark, Pig, Hive).
• Experience with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
• Excellent written and verbal communication skills to translate technical solutions and methodologies to senior leadership.