Data Scientist, Causal Inference & Large-Scale Experiments

Amazon; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks an experienced Data Scientist in Bellevue, WA, to lead experimentation and causal inference for supply chain optimization. You will partner with teams to design rigorous experiments, advance methodologies in supply chain settings, and develop analytical tools utilizing Python and SQL. The role offers a competitive salary ranging from $136,000 to $184,000 annually, along with comprehensive benefits, including health insurance and 401(k) matching.

Qualifications

• 3+ years of experience in machine learning and statistical modeling.
• 3+ years of experience with SQL and Python.
• 3+ years of data scientist experience.

Responsibilities

• Design and conduct large-scale experiments to evaluate supply chain policies.
• Lead the experimentation lifecycle from hypothesis to analysis.
• Develop supply chain emulation systems for policy evaluation.

Skills

Machine learning

Statistical modeling

Data mining

SQL

Python

Data analysis

Education

Bachelor’s degree

Tools

R

SAS

Matlab

Job description

Amazon seeks an experienced Data Scientist in Bellevue, WA, to lead experimentation and causal inference for supply chain optimization. You will partner with teams to design rigorous experiments, advance methodologies in supply chain settings, and develop analytical tools utilizing Python and SQL. The role offers a competitive salary ranging from $136,000 to $184,000 annually, along with comprehensive benefits, including health insurance and 401(k) matching.