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Groupon: Director of Data Science


Lead a talented team of scientists, analysts, and engineers, working on a variety of exciting analytics and modeling projects that have a direct impact on Groupon business.

Groupon Company: Groupon
Location: Palo Alto, CA

Are you passionate about solving interesting and challenging big data problems? Do you have expertise and interest in leading teams to solve interesting business problems using large-scale analytics and algorithms? If yes, you could be a great fit for this role with the Data Science team at Groupon.

Groupon is looking for a Director of Data Science to lead a talented team of scientists, analysts, and engineers. The Data Science team works on a variety of exciting analytics and modeling projects that have a direct impact on Groupon's business. The ideal candidate will be a strong leader with 10+ years of industry experience focusing on data mining, machine learning, statistics, or the like.

Responsibilities include leading the team to focus on a variety of data analytics and modeling problems including but not limited to:
  • Insights: Identify key insights and leverage them to inform and influence product strategy.
  • User behavior modeling: Predicting user propensity for click, conversion, and attrition.
  • Personalization: Recommendation algorithms leveraged for both users and merchants.
  • Forecasting: Modeling historical data to forecast demand, purchase propensity, merchant risk, etc.
  • Marketing and CRM: Customer life-stage modeling, large-scale advertising on search engines and social media for customer acquisition and continued engagement.
  • Optimization: Large-scale linear and non-linear constrained optimization algorithms for managing the right portfolio of deals in each local market.

  • 10+ years of industry experience in data mining, machine learning, statistical analysis, and modeling.
  • Prior leadership experience leading technical teams of 10 or more people.
  • Technical visionary who is able to guide, mentor, and inspire team members.
  • Strong communication skills with ability to drive data driven insights across the organization.
  • Keen aptitude for large-scale data analysis with a penchant for identifying key insights from data.
  • Hands-on technical expertise including:
    • Fluency in programming languages like C/C++/Java and scripting languages like Perl/Python, etc.
    • Expertise in analytical tools such as SAS, R, etc.
    • Ability to write SQL queries for data analysis on Teradata or similar massively parallel databases.


Education: MS in Computer Science, Statistics, Applied Mathematics, or a related field (Ph.D. preferred).

Apply online to Director of Data Science: Req: 6391.

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