Data Scientist II, NAS Returns Tech

About the role

Amazon Fashion is seeking a Data Scientist to join the NAS Shop and Keep (SHAKE) organization, which empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to the unique challenges of the fashion retail space, including product recommendations, discovery, and evaluation.

Key job responsibilities

• Work on the Science team and partner closely with applied scientists, data engineers, product managers, UX designers, and business partners to answer complex problems via data analysis
• Analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models, and improve customer experience by reducing retail returns
• Use analysis outputs to directly improve the performance of ML-based recommendation systems, enhancing customer experience and informing the science and product roadmap
• Work with cross-functional team members to understand key questions and earn the trust of senior leaders
• Multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, business intelligence, analyzing engagement metrics, and presenting to stakeholders
• Thrive in an agile and fast-paced environment on highly visible projects and initiatives

Basic Qualifications

• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)
• 2+ years of data scientist experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques experience, including understanding of parameters that affect their performance
• Experience applying theoretical models in an applied environment
• Bachelor's degree or BS degree

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in a machine learning or data scientist role with a large technology company
• 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

Pay

Base salary range: $136,000 - $184,000 USD annually (USA, WA, Seattle). Compensation package also includes sign-on payments and restricted stock units (RSUs). Final compensation is determined based on factors including experience, qualifications, and location.

Benefits

• Health insurance including medical, dental, vision, and prescription coverage
• Basic Life & AD&D insurance with option for Supplemental life plans
• Employee Assistance Program (EAP) and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

This response is AI-generated, for reference only.