Data Scientist II

Amazon.com Services LLC; Pittsburgh (Allegheny County); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, vis

Basic Life & AD&D insurance

Option for Supplemental life plans

EAP

Mental Health Support

Medical Advice Line

Flexible Spending Accounts

Adoption and Surrogacy Reimbursement

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Pittsburgh, PA seeks a data science professional to advance data-driven decisions on the SHAKE science team. You will analyze large datasets, build models, and partner with product, design, and engineering to translate insights into measurable improvements for recommendations and returns reduction.

The role emphasizes collaboration in an agile, fast-paced environment, with ownership of analyses from data extraction to communicating findings to senior leadership and

Qualifications

• 3+ years of experience with data querying languages (SQL) or scripting languages (Python) or statistical software (R, SAS, Matlab).
• 2+ years of data scientist experience.
• 3+ years of experience with ML and statistical modeling techniques.
• Bachelor’s degree in a relevant field.

Responsibilities

• Collaborate with applied scientists, data engineers, product managers, UX designers, and business partners to tackle complex questions through data analysis.
• Use analytical outputs to improve machine learning recommendation system performance, enhance customer experience, and inform the roadmap for science and product.
• Analyze complex, disparate datasets to extract actionable insights, build segmentation models, and reduce retail returns.

Skills

Data analysis

SQL

Python

Statistics

Communication

Education

Bachelor's degree

Tools

SQL

Python

R

SAS

Matlab

Perl

Job description

On Amazon Fashion’s NAS Shop and Keep (SHAKE) science team, this role supports data-driven decision-making and scalable machine learning work aimed at improving recommendation systems and reducing retail returns. You will analyze large, complex datasets and partner across science, engineering, product, design, and business to translate insights into measurable product and model improvements.

What you’ll do

• Collaborate with applied scientists, data engineers, product managers, UX designers, and business partners to tackle complex questions through data analysis.
• Use analytical outputs to improve machine learning recommendation system performance, enhance customer experience, and inform the roadmap for both science and product.
• Analyze complex, disparate datasets from multiple sources to extract actionable insights, build segmentation models, and reduce retail returns to improve customer experience.
• Communicate clearly across teams to align on key questions and build confidence with senior leaders.
• Handle multiple streams of work, including gap analysis of algorithm results, integrating disparate datasets, business intelligence, analyzing engagement metrics, and presenting findings to stakeholders.
• Operate effectively in an agile, fast-paced environment on high-visibility initiatives.

Minimum requirements

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

Technologies

• SQL
• Python
• R
• SAS
• Matlab
• Perl

Preferred qualifications

• Experience in Python, Perl, or another scripting language.
• Experience in an ML or data scientist role at a large technology company.
• Bachelor’s degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience defining and creating benchmarks to assess GenAI model performance.
• Ability to identify where generative AI could improve products, workflows, or customer experiences.
• Experience using generative AI tools to increase workflow efficiency, with a willingness to learn effective prompting and evaluation practices.

Role details

• Location: Pittsburgh, PA (onsite)
• Compensation: USD 136,000 - 184,000 per year
• Experience: 2+ years

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance
• 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
• Parental leave