Data Scientist, Amazon Stores Finance Science
DESCRIPTION
Are you seeking an environment where you can learn new skills, work with scientists and help influence the future of finance? Our team combines machine learning, forecasting, economics and Large Language Models to help solve problems within finance and help provide automation where problems become ambiguous. We spend our days diving into data and working with external parters to automate process to help our financial partners better perform their roles.
This role is for data scientists looking to grow their skills in all aspects of the modeling lifecycle. The role will begin by helping support currently launched models to provide instant impact for the team, including new updates or requests to those models, and transition into taking on new projects to support forecasting, anomaly detection and document understanding spaces.
Key job responsibilities
- Train and update models with more recent data supporting the anomaly, forecasting and document understanding space. Create new ideas or approaches to modeling and test those to keep pushing our team’s performance capabilities.
- Collaborating with data scientists, software design engineers, data engineers, business intelligence engineers and business stakeholders to help deliver and maintain modeling projects
- Work closely with our product team to help perform Exploratory Data Analysis and help define what the scope and objective of our projects should look like
- Performing data and statistical analysis on oddities in data to help provide high data quality within our modeling ecosystems
BASIC QUALIFICATIONS
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent)
- Experience as a data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources
- Knowledge of machine learning and forecasting models
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience
PREFERRED QUALIFICATIONS
- Experience with financial data and performing forecasting, anomaly detection or data analysis
- Knowledge of AWS infrastructure and tools such as Sagemaker Notebooks and QuickSight
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.