Amazon is looking for an outstanding Data Scientist to help build the next generation of selection systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection systems that determine which products Amazon offers in our fastest delivery programs. We build state-of-the-art models leveraging tools from machine learning, numerical optimization, natural language processing, and causal inference to automate the management of Amazon’s sub-same day (SSD) selection at scale. We sit as a part of one of the largest and most sophisticated supply chains in the world.
We operate a highly cross-functional team across software, science, analytics, and product to define and scalably execute the strategic direction of SSD and speed selection more broadly. As a Data Scientist on the team, you will work with scientists, engineers, product managers, and business stakeholders to conduct analyses that reveal key business insights and leverage data science and machine learning techniques to develop new models and solutions to emergent business problems.
Key job responsibilities
- Understanding business problems and translate them to appropriate scientific solutions;
- Using data to provide new insights and clarity to ambiguous situations;
- Designing effective, scalable, and achievable solutions to key business problems;
- Developing the right set of metrics to evaluate efficacy of your models and solutions;
- Prototyping and analyzing new models and business logic;
- Communicating, both written and verbally, with both technical and business audiences throughout each project;
- Contributing to the scientific community across the organization
BASIC QUALIFICATIONS
- 1+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 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 clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
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 $86,700/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. Applicants should apply via our internal or external career site.