Data Scientist III, Customer Strategy

Shopbop and Zappos are looking for a customer-obsessed Data Scientist to join the Customer Analytics organization. This role will be at the center of how we understand reach and serve our customers across every channel not as a support function but as a driving force behind our customer strategy.

You will build the models that power personalization across sites email push and paid media. You will design the causal frameworks that prove whats actually working versus what just looks like it is. You will apply machine learning LLMs and advanced optimization techniques to move us from intuition-driven decisions to evidence-driven ones at scale across Shopbop and Zappos.

The right candidate combines deep technical skills in machine learning and causal inference with genuine curiosity about customer behavior and retail dynamics. They thrive in ambiguity move fluidly between model development and business strategy and communicate complex findings clearly to both technical and non-technical audiences. They should have a collaborative mindset that enables them to work effectively across Lifecycle Marketing Merchandising Product Engineering and other cross-functional partners. This position sits within the Customer Experience organization.

Key job responsibilities
Design build and iterate on customer segmentation models that drive product recommendations content ranking intent detection and customer-specific experiences on site in email and in push notifications across Shopbop and Zappos.

Apply advanced optimization techniques including uplift modeling to improve real-time decisioning across marketing digital and channel experiences.

Apply causal inference methods grounded in econometric and machine learning frameworks including EconML DoWhy and CausalML to estimate the true incremental lift of personalization strategies and marketing interventions through techniques such as double machine learning meta-learners (T-learner S-learner X-learner) and targeted maximum likelihood estimation.

Build and maintain predictive models for customer preferences and individualized treatment effect models that inform business strategy and investment decisions.

Collaborate with Engineering to build scalable data pipelines feature stores and real-time serving infrastructure that support ongoing model development and experimentation.

Partner with engineering teams to deploy data science models and solutions into production across email site and paid media channels ensuring models translate from development into customer-facing impact.

Translate complex analytical and modeling results into clear actionable recommendations for leadership and cross-functional stakeholders influencing strategy through evidence rather than intuition.

- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 4 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelors degree

- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Usage of generative AI tools to enhance workflow efficiency with a willingness to learn effective prompting and evaluation practices
- Ability to recognize opportunities where generative AI could enhance products workflows or customer experiences

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 175100.00 - 236900.00 USD annually