Lead Data Scientist – AI & ML for Business Impact

Amazon Inc.

Omaha (NE)

On-site

USD 159,000 - 215,000

Full time

26 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
RSU eligibility

Job summary

Amazon Inc. is seeking a Data Scientist III to lead the design and delivery of data science solutions across large-scale projects. You will work with cross-functional partners to unlock opportunities and influence strategy with machine learning, statistics, and rigorous research.

You will mentor scientists, set standards, and communicate findings to drive business impact. This role emphasizes hands-on modeling and collaboration to address critical challenges at Amazon.

Qualifications

  • Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or engineering.
  • 4+ years of data scientist experience.
  • 5+ years of data querying languages (SQL) and scripting languages (Python) or statistical software.
  • Experience with statistical models (e.g., multinomial logistic regression).

Responsibilities

  • Lead design, implementation, and delivery of data science solutions for complex problems.
  • Build, train, and evaluate ML models using Python, R, SQL.
  • Partner with cross-functional teams to translate questions into analytical frameworks.
  • Drive data science best practices and mentor other data scientists.

Skills

SQL
Python
R
Statistical modeling
Data visualization

Education

Master's degree in a quantitative field
Econometrics / statistics / data mining (advanced degree)

Tools

AWS (Redshift S3 EC2 Glue)
SAS / Matlab
Tableau / QuickSight

Job description

Amazon Inc. is seeking a Data Scientist III to lead the design and delivery of data science solutions across large-scale projects. You will work with cross-functional partners to unlock opportunities and influence strategy with machine learning, statistics, and rigorous research.

You will mentor scientists, set standards, and communicate findings to drive business impact. This role emphasizes hands-on modeling and collaboration to address critical challenges at Amazon.

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