Amazon Advertising is seeking a Data Scientist to lead the data science strategy for the CXI team, aiming to drive program success and business impact through data-driven solutions and advanced analytics.
Requirements
- 2+ years of data scientist experience
- 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
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Responsibilities
- Develop and drive the data science strategy for the team, aligning it with the program's objectives and overall business goals.
- Identify high-impact opportunities within the program and lead the ideation, planning, and execution of data science initiatives to address them.
- Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.
- Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
- Apply statistical and machine learning knowledge to specific business problems and data.
- Build decision-making models and propose solution for the business problem you define.
- Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers.
Other
- Collaborate closely with business leaders, stakeholders, and cross-functional teams
- Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
- 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.
