Data Scientist , Amazon - XCM

- 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

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.

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.
This position can be located in Seattle, New York, and Los Angeles or Santa Monica locations.

Amazon’s physical owned and operated assets like the fleet, packages, and lockers drive billions of impressions each year that reach hundreds of millions of people. Project Chariot's mission is to transform these assets into the biggest, most loved out of home media channel in the world, helping Amazon win hearts and minds (perceptions) and change customer behaviors (high value actions) for our most important programs and offerings. This Data Scientist will help measure the upper funnel perception impact of this new marketing campaigns using causal inference techniques, so that Amazon can continue to delight customers by serving the right creative at the right time. You will sit in a blended Data and Engineering team serving Global Fixed Marketing teams.

We are a team with broad reach tackling issues that have never been solved before, which brings the opportunity to invent and make an outsized impact with your work. We have deep partnerships with other science organizations at Amazon, and leverage partnerships to drive adoption of our tools across a very broad audience.



Key job responsibilities
1. Use statistical and machine learning techniques to measure the causal impact of marketing campaigns on customer's perception;
2. Design, build, test, and deploy measurement models using ML techniques on big data end-to-end, using the latest AWS technologies.
3. Advocate for the right channel experimental design to influence long term product roadmaps.
4. Advise senior leadership, both tech and non-tech, on channel strategy and implications of model design decisions.