Job ID: 2815211 | Amazon.com Services LLC
Are you passionate about working with Amazon-scale data, advanced analytics, and data science?
Do you love bringing data together from diverse systems and sources and working on innovative advanced analytics problems for creating deep understanding of customer behavior and generating actionable business insights? Does the idea of working closely with a team of highly experienced machine-learning scientists and engineers excite you? Our team is looking for an experienced, self-driven data scientist to help us synthesize data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, formulate analyses that influence key business decisions, and democratize content creation in a safe, efficient, and exciting way. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture.
Come join us as we revolutionize the book industry and deliver an amazing experience to our authors and readers.
Key job responsibilitiesAs a Sr. Data Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic leadership to scientists, product managers, and engineers using these data. You will leverage your knowledge in machine learning, advanced analytics, metrics, and others, to analyze and translate the data into meaningful insights. You will closely collaborate with business and operations teams, scientists, and engineers. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business and will play an integral role in strategic decision-making. Further, you will build data engineering and self-service reporting solutions that enable stakeholders to manage the business and make effective decisions, and will monitor/analyze existing metrics and partner with internal teams to identify process and system improvement opportunities.
About the teamMinerva is a cross-functional science, analytics, and ML org of highly experienced scientists, BI/data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk for our publishing businesses. We also use science to optimize manufacturing, fulfillment, and quality processes.
BASIC QUALIFICATIONS- 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Bachelor's degree
PREFERRED QUALIFICATIONS- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience working with data engineers and business intelligence engineers collaboratively
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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