Strategic Forecasting & Planning Data Scientist II

Amazon; Seattle (WA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Job summary

Amazon is looking for an experienced Data Scientist II to drive scientific tooling that supports business customer interactions with forecasts and plans. This role involves developing models and frameworks to enhance decision-making across teams. The ideal candidate will have a Master's degree in a STEM field and experience with data querying languages, machine learning, and statistical modeling. Working knowledge of programming languages like Python and a collaborative approach are essential. The position offers benefits, including medical coverage and paid time off.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of experience with data querying languages (e.g., SQL).
• 3+ years of experience with machine learning/statistical modeling tools.
• 1+ years of guiding a group of researchers.
• 1+ years of working with evaluating AI systems.

Responsibilities

• Develop causal inference models and automated explainability frameworks.
• Enable leadership to understand forecast and actual divergence.
• Build automated variance decomposition models.
• Maintain a causal model library with hypothesis generation pipelines.
• Develop GenAI-powered narrative generation capabilities.

Skills

Data querying languages (SQL)

Scripting languages (Python)

Machine learning/statistical modeling

Causal inference

Time-series econometrics

Education

Master's degree in STEM

Tools

R

SAS

MATLAB

Job description

Amazon is looking for an experienced Data Scientist II to drive scientific tooling that supports business customer interactions with forecasts and plans. This role involves developing models and frameworks to enhance decision-making across teams. The ideal candidate will have a Master's degree in a STEM field and experience with data querying languages, machine learning, and statistical modeling. Working knowledge of programming languages like Python and a collaborative approach are essential. The position offers benefits, including medical coverage and paid time off.