Key Responsibilities:

• Customer lifecycle analysis and modeling with a focus on acquisition, retention, and churn and revenue trends
  
• Customer segmentation
  
• Customer Lifetime Value
  
• Marketing Optimization
  
• Find creative solutions to business problems using advanced mathematical algorithms
  
• Develop relevant metrics that enable improved decision-making across business functions
  
• Anticipate performance questions, perform sensitivity analyses, and proactively communicate to business leadership
  
• Perform ad-hoc analyses to senior management
  
• Mentor and manage junior Data Scientists
  

Requirements:

• Passionate about producing high-quality analytics deliverables and communicating results to broad audience including department users, business leaders and executives
  
• 5-7 years of demonstrated success in business analytics, operational and financial forecasting
  
• Advanced Degree (Master\'s or PhD) in a technical field preferred
  
• Experience with modeling techniques such as generalized linear models, cluster analysis, random forests, boosting, decision trees, time-series, and neural networks
  
• Strong programming and analytical skills in major analytics software packages such as R and Python
  
• Excellent SQL skills; comfortable using various data access tools
  
• Self-motivated, curious, independent, organized and proactive
  
• Highly responsive, flexible, and adaptable when working across multiple business units
  
• Excellent written and oral communication skills
  
• Prior experience in subscription based business or consumer packaged goods (a plus)
  
• Experience using BI reporting platforms including Microstrategy and Tableau (as plus)
  
• Previous experience advising or mentoring junior team members (a plus)