Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR Performance team in Amazon Web Services and help us build the fastest Big Data processing platform! Amazon EMR is a web service which enables customers to run massive clusters with open-source data processing frameworks like Apache Spark, Hive, Presto, Hadoop, HBase and more, with the ability to effortlessly scale up and down as needed. We run a large number of customer clusters, enabling a variety of customer use cases including analytics and web-scale machine learning. The AWS DBS EMR organization is doing innovative work on these open source data processing frameworks with the goal of making EMR the best place to run big data workloads.
This is a remote position. The applicant can be anywhere in the country of the posting and must be eligible to work from there. As a Data Scientist, you will lead the charge on building our data science infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we're looking for a talented data science leader to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.
Our Team: The Royalties Analytics & Data team at Spotify provides support to Finance & Accounting teams through data insights, automation solutions, and ad-hoc reporting. We help to communicate technical and business requirements between internal and external stakeholders and serve as subject matter experts for accounting data. What You'll Do Work with a cross-functional team of data analysts, engineers, and accountants to maintain and develop systems and processes to support accurate financial reporting Work with large data sets, solving complex problems in a fast-paced and dynamic environment Partner with accounting team members to define requirements for ad-hoc data analysis and reporting, being able to work independently and as a team to propose and implement solution Drive process efficiencies through automation and delivery of data pipelines to enable self-service reporting and analytics Work in an environment with a group of highly motivated individuals who are passionate about Spotify's success Who You Are You have a passion for solving complex problems through data analysis combined with a strong business and financial acumen You have the ability to communicate with both technical and non-technical teams to understand and define problems, and articulate proposed solutions You have an eye for trends and the ability to reach meaningful conclusions that inform strategic business decisions You have worked in data analytics for 1-2 years with relevant experience with accounting and financial data analysis You have a degree in mathematics, statistics, computer science, economics or another quantitative discipline You have the technical competence to perform advanced analytics over large data sets with experience in Python, SQL and/or other analytic tools (e.g. Tableau, Qliksense, D3)Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones.
About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards.
It's great, but not required, if you have: Experience in B2B, customer support, customer success Experience in product analytics, people analytics Experience with large data sets and distributed computing (Hive/Hadoop) Experience in using Jira, Team Central, Confluence to manage and share team's work