Data Scientist II, Global Data Analytics

3 weeks ago


Hyderabad, Telangana, India ADCI HYD 13 SEZ Full time
About the Role

We are seeking an exceptional Data Scientist to join our Global Data Analytics team in Hyderabad. As a key member of the team, you will be responsible for driving high-visibility analyses, methodologies, and algorithms in the Order-to-Cash and Procure-to-Pay lifecycles to improve free cash flow for Amazon Finance Operations.

Key Responsibilities
  • Extract and analyze large amounts of data from Order-to-Cash and Procure-to-Pay processes and associated business functions.
  • Develop and test statistical and machine learning models, run computational experiments, and fine-tune model parameters.
  • Use computational methods to identify relationships between business data and outcomes, define outliers and anomalies, and justify those outcomes to business customers.
  • Communicate verbally and in writing to business customers with various levels of technical knowledge, educate stakeholders on our research and data science practice, and deliver actionable insights and recommendations.
  • Develop code to analyze data (SQL, PySpark, Scala, etc.) and build statistical and machine learning models and algorithms (Python, R, Scala, etc.).
  • Collaborate with business and operational stakeholders and product managers to innovate on behalf of customers leveraging data science methodologies, and partner with engineers and scientists to design, develop, and scale machine learning models.
About the Team

Global Data Analytics (GDA) supports decisions in AR and AP. In close cooperation with our stakeholders, we agree and build uniform metrics; use data from a 'single source of truth'; provide automated, self-service, standard reporting; and build predictive analytics. Our topmost ambition is to actively contribute to the improvement of Amazon's Free Cash Flow by value-adding analytics. Our success is built on users' trust in our data and the reliability of our analytics tools. GDA's data scientists and economists further that mission with rigorous statistical, econometric, and ML models to compliment reporting and analysis developed by GDA's analytical, BI, and Finance professionals.

Requirements
  • 2+ years of data scientist experience
  • 3+ 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 machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
Preferred Qualifications
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company

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