Minimum qualifications:

• Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• Experience in quantitative analytics with a focus on marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, or predictive analytics.
  
• Experience programming in Python or R.
  

Preferred qualifications:

• PhD in Statistics, Computer Science, Engineering, Mathematics, or equivalent practical experience.
• Experience with analytic software tools and languages (e.g., SQL, R, TensorFlow, Python, SAS, SPLUS, and Eviews).
• Experience using/deploying digital analytics and measurement solutions, and with SQL and big data.
• Experience in the customer industry, including retail, financial services/retail banking, insurance, telecommunications, automotive, and Consumer Packaged Goods (CPG).
  
• Understanding of media (e.g., paid, owned and earned), and the statistical algorithms, typically used in Marketing Analytics.