Data Scientist II, FinOps - Global Finance Solution
Data Scientist II, FinOps - Global Finance Solution
Posted on :
06-05-2025
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1 Vacancy
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Job Description
Amazon is a USbased multinational electronic commerce company headquartered in Seattle Washington. started as an online bookstore but soon diversified into many other categories with a vision to be earths most customercentric company & to build a place where people can come to find and discover anything they might want to buy online.
About the role: Amazons Global Finance Solutions (GFS) team is a fastpaced teamfocused dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Data Scientist with the technical expertise and business intuition to invent the future of Finance at Amazon. The role lead the research and thought leadership to drive our data and insight strategy for Finance. You will be expected to serve as a Full Stack Data Scientist. You will be responsible for driving datadriven transformation across the organization. In this role you will be responsible for the endtoend data science lifecycle from data exploration and feature engineering and ETL to model development. You will leverage a diverse set of tools and technologies including SQL Python Spark Hugging Face and various machine learning frameworks to tackle complex business problems and uncover valuable insights.
Your product analytics research will provide direction on the technology strategy of the Managed Operations organization. Your Decision Science artifacts will provide insights that inform Finance Operations team. You will work on ambiguous and complex business and research science problems at scale. You are and comfortable working with crossfunctional teams and systems.
Key job responsibilities
The Data Scientists responsibilities include but are not limited to the following points:
Extract and analyze large amounts of data related to suppliers and associated business functions.
Adapt statistical and machine learning methodologies for Finance Operations by developing and testing models running computational experiments and finetuning model parameters.
Use computational methods to identify relationships between data and business 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 data science and ML 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 develop novel applications data science methodologies and partner with engineers and scientists to design develop and scale machine learning models.
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
5 years of data scientist experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Bachelors degree
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
About the role: Amazons Global Finance Solutions (GFS) team is a fastpaced teamfocused dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Data Scientist with the technical expertise and business intuition to invent the future of Finance at Amazon. The role lead the research and thought leadership to drive our data and insight strategy for Finance. You will be expected to serve as a Full Stack Data Scientist. You will be responsible for driving datadriven transformation across the organization. In this role you will be responsible for the endtoend data science lifecycle from data exploration and feature engineering and ETL to model development. You will leverage a diverse set of tools and technologies including SQL Python Spark Hugging Face and various machine learning frameworks to tackle complex business problems and uncover valuable insights.
Your product analytics research will provide direction on the technology strategy of the Managed Operations organization. Your Decision Science artifacts will provide insights that inform Finance Operations team. You will work on ambiguous and complex business and research science problems at scale. You are and comfortable working with crossfunctional teams and systems.
Key job responsibilities
The Data Scientists responsibilities include but are not limited to the following points:
Extract and analyze large amounts of data related to suppliers and associated business functions.
Adapt statistical and machine learning methodologies for Finance Operations by developing and testing models running computational experiments and finetuning model parameters.
Use computational methods to identify relationships between data and business 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 data science and ML 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 develop novel applications data science methodologies and partner with engineers and scientists to design develop and scale machine learning models.
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
5 years of data scientist experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Bachelors degree
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
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