Data Scientist II

Job ID: 1544573 | Amazon.com Services LLC

DESCRIPTION

Envision being a member of a small, agile team where your ideas reach millions within months, not years. Picture working on groundbreaking consumer-facing products, where every single team member is a critical voice in the way we make decisions. Envision being able to use the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born amongst engineers, and come to life as the Digital mp3 Store, Cloud Player, and Prime Music ad-free streaming.

In San Francisco we own and develop Amazon's core digital music experiences such as the Cloud Player music locker and the MP3 Store, which has a catalog of 25 million songs from all major music labels. Our music offerings are available in multiple countries, and our applications support our mission of delivering Your Music, Everywhere. We can be found on mobile and tablet platforms such as Kindle Fire, iOS, and Android as well as on Home and Auto platforms. We develop software in Java, C++, HTML5/JavaScript, Perl, Python, and various AWS technologies.

We are located in downtown San Francisco in the heart of the financial district. We’re easy to reach by bike, bus, MUNI and BART.

You are someone who enjoys diving deep into data to generating insights that will help drive business strategy while maintaining a customer focus. You will have demonstrated quantitative and qualitative experience with impact to a business, a track record of problem solving using software and analysis tools, and the desire to create and build new processes. You will be required to quickly gain a deep understanding of our BI platforms, database schemas, ETL’s, and business logic. You will partner with the Metrics and Data Platform team on metrics creation, data governance, QA, and requirements creation. This is a business facing role where supporting Product, Engineering, Merchandising, Marketing and Leadership teams with data analysis. You will help to optimize product and business strategies based on your findings.

You are highly-motivated and thrive in an environment where problems are open-ended. You enjoy engaging in passionate discussions with smart people and letting the best ideas rise to the top. You see your mistakes as learning opportunities and continually look for ways to improve yourself, your team and your products. You understand that not all solutions come easily and don’t shy away from hard work to reach your goals. You are excited about the opportunity to engage in developing a top notch consumer web application and user experience.

BASIC QUALIFICATIONS

· Bachelor's Degree
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist
· Bachelor’s degree in mathematics, statistics, computer science or a similar quantitative field
· 4+ years of experience in an Analytics, Business Intelligence, or Data Science role
· Experience analyzing, manipulating, and mining large Data Sets using SQL
· Experience in applying Statistics and Regressions to create models using one of the following languages: SAS, R, or Python
· Experience creating automated reports and work on ad hoc analysis

PREFERRED QUALIFICATIONS

· Advanced degree in Statistics, Mathematics, or any other quantitative field
· Experience analyzing web logs, mobile data, and customer data sets
· Hands-on experience with Hadoop/MapReduce or other Big Data technologies
· Knowledge and experience manipulating data using PL/SQL, Ruby, Java, and/or Python
· Experience working closely with product and engineering teams to find opportunities through data analysis
· Internet/Music industry experience
· A self-starter who loves data and who enjoys spotting the trends in it!

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.