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Applied Scientist Manager at Amazon(I'm hiring).
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
We are hiring all levels of applied scientists/data scientists. - 10+ years of internet industry experience across mid to large companies; - 3+ years of management experience - Manage dev and science team with up to 12 people of multiple roles; - Enthusiastically drive business strategic goals and develop IC careers; - Push for technical revamps and infrastructure advancements within the company.
The University of Texas
Doctor of Philosophy (PhD), Electrical and Computer Engineering
N/A – Present
Amazon
Applied Scientist Manager
January 1, 2020 – Present
Seattle, Washington, United States · On-site
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Cultural Fit Analysis
The candidate has a strong background in Applied Science and Software Development, primarily focused on machine learning and AI. While this demonstrates a high level of technical expertise, the target role is 'Data Analyst'. This represents a significant shift in focus from model development and research to data interpretation, reporting, and business intelligence. The candidate's experience is highly technical and research-oriented, which may not directly align with the typical day-to-day responsibilities and cultural expectations of a pure Data Analyst role, which often requires strong business acumen, visualization skills, and stakeholder communication. The lack of explicit data analysis projects or roles focused on business insights, dashboards, or SQL/BI tools in the resume suggests a potential mismatch in cultural fit for a dedicated Data Analyst position.
Soft Skills & Operational Fit
The candidate's resume indicates experience in managerial and senior individual contributor roles, suggesting leadership potential, problem-solving abilities, and a capacity for independent work. However, specific soft skills like teamwork, communication style, or adaptability cannot be directly assessed from the provided data.