Staff Data Scientist Analytics, Quizlet

• 5+ years of experience in data science at a consumer internet company; or 3+ years of experience with a Masters or PhD
• Required to have experience running A/B tests and using statistical techniques for modeling and predicting user behavior
• Proven experience working with product teams to drive product strategy and tactics with insights and modeling
• Proven experience with creating and owning resilient ETLs and dashboards that power business metrics
• Advanced SQL skills, window functions, sub-queries, etc
• Strong communication skills: effectively synthesize, visualize, and communicate your ideas to others

Desirable

• The Data Science, Analytics team at Quizlet is at the forefront of product research
• We leverage our rich data set to represent the voice of our students and teachers at scale
• Our team outcomes focus on delivering insights that drive product strategy using the data science toolkit
• We serve in a pivotal strategic role, identifying as well as driving inquiry on behalf of leaders at the company
• The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to make sure we are building a data-driven culture
• As the Core Product Data Scientist, you will partner closely with the Product, Engineering, Design, and Data Science teams to build amazing products that will drive users to Quizlet
• You will bring together insights across our vast user data, enabling you to identify new high-value opportunities, analyze A/B test experiments, recommend data-driven product decisions, define key business metrics, set company wide goals, and present quantitative product research
• Focus on driving business insights through data
• Develop analytical frameworks and foundations to enable actions and next steps in the business
• Embed within a specific product pod, collaborating with partners in product, engineering, design, and user research to go deep into one part of Quizlet’s business
• Develop experimentation strategy and support A/B testing through the entire experimentation life cycle, from inception to measurement, analysis, and synthesizing recommendations
• Explore, develop, and present insights to the whole company that inform product roadmap and strategy, using one of the world’s largest learning science databases
• Drive maturity and excellence in the way we measure the success of our business