Lead Data Scientist, Devices & Services ML & Impact

Amazon; Denver (CO); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon is seeking a Data Scientist III to lead the design and delivery of data science solutions that drive measurable business outcomes. You will apply broad expertise across machine learning, statistical modeling, and experimentation to tackle complex challenges and influence business strategy.

You will collaborate across teams to understand system interactions, build actionable models and analyses, and mentor fellow data scientists, driving rigorous analytics and reusable insights for scale.

Qualifications

• 5+ years of data querying languages experience.
• 4+ years of data scientist experience.
• Experience with statistical models e.g. multinomial logistic regression.

Responsibilities

• Lead the design and implementation of data science solutions for complex or ambiguous problems, applying machine learning, statistical modeling, and experimentation to deliver measurable business impact.
• Evaluate cross-team perspectives and model interactions among teams, processes, and systems to recommend the right data science strategy and methods for each challenge.
• Drive data science best practices and set standards across your team, including building reproducible models and analyses that others can contribute to and extend.
• Mentor and develop other data scientists by reviewing their analyses, providing technical feedback, and sharing expertise through presentations and knowledge-sharing sessions.
• Identify gaps in current metrics and propose new measurements or data sources, challenging assumptions and proactively restructuring approaches to resolve root causes of recurring problems.

Skills

SQL

Python

R

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Amazon is seeking a Data Scientist III to lead the design and delivery of data science solutions that drive measurable business outcomes. You will apply broad expertise across machine learning, statistical modeling, and experimentation to tackle complex challenges and influence business strategy.

You will collaborate across teams to understand system interactions, build actionable models and analyses, and mentor fellow data scientists, driving rigorous analytics and reusable insights for scale.