Data Scientist II, GMAC Economics

- 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
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's 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
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience running experiments and executing observational causal modeling techniques

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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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
The GMAC Econ team is looking for a data scientist to support strategic projects in the Prime Video business. Prime Video provides value to our customers as both a key Prime membership benefit and separately as a retail outlet for digital downloads and streams of top TV and Movie titles.

As an data scientist in GMAC Econ focusing on Prime Video, you will be responsible for understanding the value that the business creates for our customers and for Amazon’s extensive ecosystem. This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, causal analysis and experimental design methods to large amount of individual level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.

Key job responsibilities
* Build, validate, and scale analytic solutions using state of the art tools based on large datasets
* Conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features
* Partner closely with Business, Finance, Science, and Tech partners from ideation to implementation of production solutions
* Independently identify new opportunities for leveraging economic insights and models that drive a better understanding of the Video business
* Write both technical white papers and business-facing documents to clearly explain complex technical concepts to partner teams and leaders

About the team
We are a central team of Economists, Data Scientists, and Engineers in Global Media, Advertising and Corporate Development (GMAC) finance that focuses on the development of disruptive ideas and novel economic tools to help support the growth and long term economic value of GMAC and broader Amazon. We also provide tactical support where we are uniquely positioned to do so because of our expertise or independence. We prioritize projects based on expected impact, taking into account the feasibility of implementation by our business partners, or if it makes sense for us to build it ourselves.