Description

　　The position can be based in Arlington, VA. This is a hybrid role (3 days a week in the office) because we believe it is easier to learn, model, practice, and strengthen our culture when we’re in the office surrounded by our colleagues.

　　We are looking for Data Science professionals to drive our analytical revolution in the Talent Acquisition (TA) space. You get the opportunity to work on a ground up rebuild of our analytical capabilities, from data ingress, to complex business transformations to end user reporting and beyond.

　　In this role, you will invent and build on behalf of candidates, experiment and test new ideas, evangelize successes, and drive consistency.

　　The ideal candidate is an independent Data Scientist who can source data, cleanse, analyze, refine, enrich, model, present, automate and document our business data pipelines. You will always be on the lookout for ways to optimize the information flow process, stay on top of latest trends in data warehousing and be able to coordinate and work on multiple, related projects.

　　Key job responsibilities

　　• Collaborate with researchers, software developers, and business leaders to define business processes and provide analytical support

　　• Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems

　　• Build scalable, efficient, and automated data processes to facilitate customer-facing reporting

　　• Automate TA processes to streamline business operations

　　• Communicate verbally or in writing to business customers / leadership to sharing insights and recommendations

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

　　Arlington, VA, USA | Seattle, WA, USA

　　Basic Qualifications

　　Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

　　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

　　Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

　　Experience in a ML or data scientist role with a large technology company

　　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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/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. Applicants should apply via our internal or external career site.