Company: Groupon
Location: Palo Alto, CA
Web: www.groupon.com


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.

 
Requirements:

• 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).

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