Data Scientist L5, Financial Insights and Direction

at  Amazon EU SARL

• Experience working as a Data Scientist
• Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
• Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
• Experience applying theoretical models in an applied environment
  The Financial Insights and Direction (FInD) team within EU FP&A is seeking a highly skilled Data Scientist to join our dynamic group. We are responsible for developing sophisticated algorithms and models that leverage large amounts of financial data to drive strategic decision-making across the organization.
  As a Data Scientist on our team, you will play a crucial role in forecasting Amazon’s financial performance, optimizing inventory and labor planning, and uncovering valuable business insights. Your work will directly impact hundreds of millions of dollars in inventory and operational costs.

BASIC QUALIFICATIONS:

2+ years of experience in machine learning, statistical modeling, data mining, and advanced analytics techniques.
2+ years of experience in data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB).
2+ years of experience as a Data Scientist or in a similar analytical role.
Bachelor’s degree.

PREFERRED QUALIFICATIONS:

Master’s degree or Ph.D. in a quantitative field.
2+ years of experience implementing deep learning models in a production environment.
Expertise in processing, analyzing, and presenting large, complex datasets (millions to billions of rows).
Strong background in financial forecasting and time series analysis.

Natural curiosity and a desire to learn and innovate.

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

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

Continuously innovate through research and the application of the latest machine learning and deep learning techniques to improve the accuracy of our financial forecasts and analyses.
Perform comprehensive exploratory data analysis to identify new business opportunities and develop strategic plans to address them.
Communicate complex findings and recommendations both verbally and in writing to business leaders with varying levels of technical expertise.
Contribute to Amazon’s global finance community through collaboration and the publication of groundbreaking research in top-tier journals and conferences.
Utilize advanced analytical tools and programming languages (Python, R, SQL, etc.) to extract insights from large, diverse datasets.