Data Scientist Iii

Groupon’s mission is to become the daily habit in local commerce and fulfill our purpose of building strong communities through thriving small businesses by connecting people to a vibrant, global marketplace for local services, experiences and goods. In the process, we’re positively impacting the lives of millions of customers and merchants globally. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. If you want to take more ownership of your career, then you're ready to be part of Groupon. Are you a problem solver? A creative thinker who asks questions others don’t think of? Are you interested in bringing together data and algorithms to grow Groupon’s business? The Data Science team at Groupon owns the heart of our decision-making system that provides value to the millions of merchants and customers that use our platforms on a daily basis. We use industry standard data technologies, data science methods, and machine learning models to build real-time solutions that tune an inventory of merchants offering goods and services that our customers need. For each merchant we provide direction on how to compete successfully in their unique local marketplace. For each customer, Groupon leverages real-time matching algorithms to personalize deals for local businesses in their area. We use the tremendous level of daily traffic on our site and mobile apps to understand the evolving needs of our customers and merchants. Groupon constantly monitors the performance of our models and algorithms to improve the accuracy of our models while staying accountable to the fundamentals of our business. Data science is a quickly evolving discipline and Groupon is committed to ensuring that our Data Scientists use modern, career building tools that keep pace with the rest of the industry. Your role as a Data Scientist will be to understand the behavior of our customers and merchants and translate that understanding into actionable insights that can impact our real-time revenue and user experience. Team members are highly collaborative, have an authentic passion for trying new algorithms, a willingness to experiment, and a drive to execute. We're a "best of both worlds" kind of company. We're big enough to have resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. We're curious, fun, a little intense, and kind of obsessed with helping local businesses thrive. Does that sound like a compelling place to work? You’ll spend time on the following: - Develop algorithms, data pipelines, and automated processes to create a data science backed solution that meets a business need for improving our customer or merchant platforms - Build machine-learned models in areas such as demand/supply, personalized recommendations, customer/merchant experience, deal page/structure, pricing etc - Work with product and business teams to identify questions and issues for data analysis and experimentation - Design and develop processes and systems which consolidate, analyze and generate actionable insights from diverse data sources - Interpret and communicate meaningful insights and findings from analysis and experiments to partners across the organization We’re excited about you if you have: - 6+ years work experience as a data scientist/senior data scientist - BS or MS degree in Computer Science, Mathematics, Economics or similar quantitative field, with an emphasis on predictive analytics, data mining, statistics, linear algebra, machine learning, and/or algorithms (comparable industry experience may be substituted for this requirement) - Understanding of applied math topics, such as probability and statistics, linear algebra, basic optimization techniques, etc. - Hands-on experience with machine learning and NLP techniques/algorithms - Experience in translating business objectives and problems into analytics/DS problems and building end-to-end solution - Experience with Python a must - Experience in deploying machine-learned models in production environments a must - Experience with AWS services and Sagemaker will be greatly appreciated - Experience with Neural Networks / Deep Learning a plus - Experience with GCP a plus - Experience with data management technologies like Hadoop, Hive, etc a plus. - Experience with Spark, SQL a plus - Self-driven problem solving skills and can identify problems unilaterally, but still bring back to the team - Experience defining and analyzing multivariate tests We value people who are: - Customer-focused: We believe that doing what’s right for the customer is ultimately what will drive our business forward. - Obsessed with quality: Your production code just works & scales linearly - Team players. You believe that more can be achieved together. You listen to feedback and also provide supportive feedback to help ot