Description

Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data science and advanced analytics solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal?

Come build the future of payments with us! Amazon Pay is a high growth startup providing Amazon customers the trust, convenience and value they expect from Amazon no matter where they are paying. We are part of the Amazon Payments team, powering fintech on and off Amazon. This role will focus on Data Science, and Analytics related to Amazon Pay Wallet Differentiation, requiring solid ML model development skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support to product leadership. As a member of this team, you will harness your strong analytical skill to create data structures, build machine learning models with natural language processing, build dashboards and visualization to support business strategy and enable our team to identify and measure new opportunities. This role will be responsible for surfacing top and trending customer pain points within relevant business segments (e.g. by product, device, merchant segment, channel) based on post-order feedback and customer service calls. This role will also build the required datasets for new pilot programs and analyze performance for VP-level audience.

The ideal candidate is resourceful, understanding and leveraging existing Amazon capability where available, and has experience delivering insights and impact to business teams. This is the right role for you if you hungry to deliver insights that directly transform the customer experience, get excited by partnering with product on measuring innovations and experiments to drive future payments with Amazon, and have solid modeling and analytical skills.

The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, are highly organized and detail-oriented, implement new and scalable solutions for complex problems, and deliver successfully against highest standards. The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with limited guidance.

Key job responsibilities

• Support the development of continuously-evolving business. Own the analytics, data models and , own the quantitative analysis of the performance of our new products/services

• Use machine learning, data mining, statistical techniques and run conduct A/B experiments to solve complex business problems.

• Perform hand-on analysis and modeling of large datasets to develop actionable insights

• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

• Develop relationships and processes across product teams to expand impact beyond new launches

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

Basic Qualifications

• Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)

• Experience working as a Data Scientist

• Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience managing data pipelines

• Experience as a leader and mentor on a data science team

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.