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DESCRIPTION

Amazon’s Customer Behavior Analytics org is looking for an Principal Data Scientist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. This is a high-impact role with opportunities to directly influence billions of dollars in investments across worldwide marketplaces, and inform marketing and marketplace leaders on where to invest, how much to invest and why. We work closely with business stakeholders and strive to continuously produce tangible impact on the company’s strategic and tactical planning and operations.

A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will apply your expertise in data science, and statistics, to identify opportunities for further research and to provide insights that drive larger initiatives. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.

Key job responsibilities
Technical Leadership:

- Architecting complex data science solutions focusing on customer behavior patterns
- Leading advanced analytics projects from conception to deployment
- Developing and implementing sophisticated machine learning models for customer segmentation, lifetime value prediction, and churn analysis
- Establishing best practices for data science methodologies within the team
Strategic Impact:
- Translating business problems into analytical frameworks
- Identifying opportunities for data-driven innovation in customer experience
- Providing strategic recommendations to senior management based on analytical insights
- Defining KPIs and metrics to measure customer behavior and engagement
Team Leadership:
- Mentoring junior scientists and engineers
- Setting technical direction for the team
- Collaborating with cross-functional teams (Marketing, Product, Engineering)
- Leading code reviews and ensuring quality standards
Advanced Analytics:
- Creating recommendation systems and personalization algorithms
- Performing advanced statistical analysis
- Building real-time analytics solutions for customer insights
Business Communication:
- Presenting complex findings to non-technical stakeholders
- Creating executive-level reports and dashboards
- Collaborating with product teams to implement data-driven features
Technical Stack Management:
- Evaluating and implementing new tools and technologies
- Ensuring scalability of data science solutions


About the team
The Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience.