Data Scientist - Internet - II

Job Description

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.Were a best of both worlds kind of company. Were 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. Were curious, fun, a little intense, and kind of obsessed with helping local businesses thrive. Does that sound like a compelling place to work Youll 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
Were excited about you if you have:
• 3-6 years work experience as a 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 with Python
• Experience in deploying machine-learned models in production environments
• Experience with Neural Networks / Deep Learning a plus
• Experience with AWS services and Sagemaker a plus
• Experience with data management technologies like Hadoop, Hive, Snowflake, etc.
• Experience with Spark, sql is a plus
• Self-driven problem-solving skills and can identify problems unilaterally, but still, bring them back to the team
• Experience translating business objectives and problems into analytic problems, and analytic solutions into actionable business solutions
• Experience defining and analyzing multivariate tests
We value people who are:
• Customer-focused: We believe that doing whats 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 others grow/improve.
• Fast learners: We are willing to disrupt our existing business to trial new products and solutions. You love learning how to use new technologies and then rapidly apply them to new problems.
• Pragmatic: We do things quickly to learn what our customers desire. You know when its appropriate to take shortcuts that dont sacrifice quality or maintainability.
• Owners: People at Groupon know how to positively impact the business.

Keyskills :
data analysisstatistical modeling