Data Scientist, CreST

- 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
- 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.

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 Creator team’s mission is to make Amazon the Earth’s most desired destination for commerce creators and their content. We own the Associates and Influencer programs and brands across Amazon to ensure a cohesive experience, expand creators’ opportunities to earn through innovation, and launch experiences that reinforce feelings of achievement for creators.
As a Data Scientist in this team, you will be driving the Data Science/ML roadmap in the areas of: creator compensation, channel incrementality, program/feature adoption, marketing campaign analysis, creator segmentation and clustering, creator lifecycle management, predictive analytics, and event forecasting. You will develop statistical and machine learning models to solve for complex business problems, design and run global experiments, and find new ways to optimize the customer experience. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will also help coach/mentor junior scientists in the team.


Key job responsibilities
• Perform large-scale experimentation to identify hidden relationships between variables in large datasets
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
• Use advanced causal inference methodologies to design and implement experiments.
• Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems
• Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data

• Communicate and coordinate with teams to implement data-driven strategies while measuring progress


A day in the life
In this role, you’ll be utilizing your statistics, causal inference, data analytics and visualization, and creative and critical problem-solving skills to drive new experiments from design to implementation. Rapid development of lightweight predictive analytics models will be your secret weapon. Conclusions and recommendations drawn from your experiments will influence critical business decisions, and inform future science initiatives.

About the team
Our team is dedicated to supporting new members. We have a broad mix of domain specialists (Economics, Data Science, Applied Science), experience levels and tenures, and we’re building an environment that celebrates knowledge creation and sharing, and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.