Data Scientist II: ML-Driven Recommendations (Pittsburgh)

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

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