Head of Big Data

Job description

  • Define and lead development of foundational growth enablers, including: self-serve analytics, customer insights, associates acquisition and lifecycle engagement models, segmentation models, experimentation metrics, marketing attribution models, rate optimization models, forecast and lift models, risk models, etc.
  • Partner with our Data Platform team to build requirements for data infrastructure necessary to facilitate efficient analysis and reporting.
  • Hire, coach and lead a team of data scientists and data engineers.
  • Translate analytical insights into concrete, actionable recommendations for business or product improvement, and present to senior leadership.
  • Partner with Product Management team to drive requirements for new products and integrate data during product development.
  • Discover areas of the customer experience and business that can be automated through machine learning.
  • Work with Customers' data and Build model for their behaviors
    • Model Customer purchase behavior
    • Predict Customers' future behavior
    • Model Customers' Exceptional behavior
  • Research, test, and implement new data technologies
    • Work with NoSql Databases
    • Work with new Python Packages
  • Provide Restful API for our Services

Requirements

  • Master’s degree in Engineering, Computer science, Math, Statistics, Economics or related field.
  • 5+ years of relevant engineering experience.
  • 2+ years of people management experience, managing engineers.
  • Strong knowledge of various Data Science disciplines including descriptive analytics, optimization, probability, hypothesis testing, regression, forecasting and machine learning.
  • Self-sufficiency in data analysis (such as R, Python and Matlab) and big data technologies (such as Map Reduce, Spark and Hive).
  • Great ability to identify and translate emerging trends and customer needs into workable product proposals.
  • Excellent communication and collaboration skills – experience in writing and presenting comprehensive. narratives on opportunity, objectives, goals, and delivery plans to customers and stakeholders.