Data Scientist, Fashion Analytics - Amazon : Job Details

Job ID: 2990442 | Amazon.com Services LLC

Are you driven by the challenge of solving unique customer-centric problems at Amazon scale? Do you have a passion for applying statistical analysis, machine learning, and data mining to gain insights into customer shopping behavior? If collaborating with a diverse team of engineers, machine learning scientists, product managers, and designers excites you, consider this opportunity!

Amazon Fashion is on a mission to become the top online shopping destination for fashion enthusiasts. Our vision includes vast selections, inspiring recommendations, and exceptional customer experiences. The NAS Mosaic science team aims to innovate and develop scalable ML solutions that provide personalized recommendations.

We are looking for a Data Scientist with expertise in statistical analysis, machine learning, and data mining, along with a demonstrated ability to analyze complex datasets. This role is perfect for someone who is eager to grow professionally in the field of data science.

Key Responsibilities:

• Collaborate with the science team and closely partner with applied scientists, data engineers, product managers, UX designers, and business professionals to tackle complex data-driven problems.
• Analyze intricate and varied datasets collected from multiple sources to obtain key insights and build segmentation models aimed at enhancing customer experience and minimizing retail returns.
• Utilize strong communication skills to engage with cross-functional teams, understand critical questions, and build trust with senior leaders.
• Manage multiple tasks, including gap analysis of algorithm outcomes, integrating diverse datasets, performing business intelligence tasks, analyzing engagement metrics, and presenting findings to stakeholders.
• Thrive in a fast-paced, agile environment, taking on highly visible projects and initiatives.

Basic Qualifications:

• 3+ years experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 2+ years of experience as a Data Scientist.
• 3+ years of experience with machine learning/statistical modeling analysis tools and techniques, including understanding performance-affecting parameters.
• Experience applying theoretical models in practical settings.
• Bachelor's Degree.

Preferred Qualifications:

• Experience in Python, Perl, or another scripting language.
• Experience in a machine learning or data science role within a large technology environment.

At Amazon, we are proud to be an equal opportunity employer. We don't discriminate on the basis of protected veteran status, disability, or any legally protected status. Our inclusive culture empowers all Amazonians to achieve the best outcomes for our customers. If you need workplace accommodations or adjustments during the hiring process, please reach out for assistance.

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. Compensation reflects various factors including location and job-related skills and experience. Amazon offers comprehensive benefits, including equity and sign-on payments as part of the compensation package.

This position will remain posted until filled. Please apply via our internal or external career site.