Data Scientist, Amazon

• Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or another discipline involving experimental design and quantitative analysis of experimental data
• 1+ years of hands-on experience with machine learning, predictive modeling, and/or statistical analysis techniques
• Development experience with Python or equivalent scripting languages
• Experience in extracting data using SQL

Desirable

• We are currently looking for Data Scientists to help drive innovation in understanding the incremental impact and value of product features and marketing strategies
• You will be expected to work closely with our team members to implement test designs and evaluations of new product launches, promotions, and a mix of media campaigns to understand the business impact across all sales channels
• At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impacts
• You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in cutting-edge research to solve the business problems
• You’ll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders
• You will be at the heart of an agile and growing area at Audible
• Audible Data Scientists are members of a global interdisciplinary insights and research team with an integral role in the design and integration of models to automate decision making throughout the business in every country
• We empower the cutting-edge machine learning and deep learning techniques in the many areas of the business
• We translate business goals into agile, insightful analytics and seek to create value for both stakeholders and customers and convey findings in a clear, actionable way to managers and senior leaders
• Analyze customer data for segmentation, clustering, acquisition, retention, engagement, and recommendations
• Perform content evaluation, apply natural language processing, analyze attributes and representations (in text, audio, cover art), generate content recommendations, and identify trends
• Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations
• Evaluate marketing performance across earned, paid, and owned media evaluation