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Vice President, Data Science and Analytics 117 views

As the VP of Data Science & Analytics, you will be responsible for collecting, managing, and analyzing user data and product data to provide business intelligence solutions for Product, Marketing, Finance, and Business teams. Manage a team of action-oriented data scientists and analysts, lead and promote our data-focused culture, and act as a key stakeholder in enhancing their data technologies. This position reports directly to their Chief Experience Officer and is expected to have a high impact on the organization.

What You Have

    • Bachelor’s degree in Computer Science, Economics, Information Systems, Statistics, Operations Research, Applied Math, or another related field, Master’s Degree Preferred
    • 10+ years of experience in data science, data analytics, web analytics, and marketing analytics
    • 5+ years of experience with data warehouses and ETL
    • 7+ years of experience managing data analysts, business analysts, data scientists, data engineers, and ETL engineers
    • Expert experience with SQL for data transformations, profiling, and query tasks
    • Experience with statistical and machine learning tools: Python, R, SAS, etc.

 

What You’ll Do

  • Identify, collect, prepare, and analyze customer and product data across a wide range of domains
  • Set the vision and strategy for analytics with a focus on creating customer value
  • Integrate data collection, data quality, and core model output into production; apply data mining techniques to uncover actionable business insights
  • Ensure and improve data integrity, data accuracy, and data quality
  • Work with the data engineering team to build a scalable data infrastructure that enables activity tracking, audience profiling, and other data analytics
  • Establish best practices for big-data technologies, tools, and own processes related to model section, accuracy, and efficiency
  • Identify new data sources to enhance analytics
  • Collaborate with all teams to find growth levers and optimization opportunities
  • Offer actionable business recommendations based on empirical data and external factors
  • Develop and manage audience profiling
  • Manage and improve the LTV model
  • Manage user journey path, on-page activity, and other customer behavior
  • Establish a long-term roadmap for providing deep business intelligence

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  • Total Jobs 8 Jobs
  • Location MA
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