Minimum qualifications:

• Bachelor's degree Statistics, Economics, Mathematics, in a quantitative discipline, or equivalent practical experience.
  
• 5 years of experience in the Industry in a Data Analyst or Data Science role, analyzing data sets to solve business problems through statistical methods and predictive analytics.
  

Preferred qualifications:

• Experience in data analysis, especially for time series data, to solve business problems in complex, fast-moving, and ambiguous business environments with strong data intuition and business acumen.
  
• Experience in stakeholder-facing or client-facing roles (e.g. previous consulting role).
  
• Experience with statistical softwares (e.g., Python), database languages (e.g., SQL), and data visualization tools (e.g., Tableau).
  
• Excellent communication skills (written and verbal) to translate technical solutions and methodologies to leadership.
  
  
  

Responsibilities

• Partner with Finance leadership and their teams to understand business context, ideate, and deliver insights and prototypes.
• Work with Machine Learning Scientists and Engineers to improve usability of the Machine Learning models through the design of appropriate metrics.
• Collaborate with Machine Learning Scientists to develop and improve models (e.g. identifying new data sources, hypothesis testing, feature engineering, model prototyping, analyzing model output and model explainability).
• Provide analyses through advanced analytics/statistical methods that tell a “story” focused on business insights.
• Develop reusable and robust analytic frameworks to ensure consistent results across business areas.
  Contribute to a culture of learning, sharing and making Machine Learning accessible across the broader team and our stakeholders.