Data Science Expert
Amazon
Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture
We are seeking a highly skilled Data Scientist to join our Machine Learning Architecture team, focusing on power and performance optimization for ML acceleration workloads across Amazon's global data center infrastructure. This role combines advanced data science techniques with deep technical understanding of ML hardware acceleration to drive efficiency improvements in training and inference workloads at massive scale.
Analyze power consumption and performance metrics across all Amazon data centers for machine learning acceleration workloads
Create automated monitoring and alerting systems for power and performance anomalies
Provide data-driven recommendations for server deployments and capacity planning decisions across Amazon's global data center network
Support strategic decision-making through comprehensive analysis of power, performance, and cost trade-offs
Partner with software engineering teams to optimize ML frameworks, drivers, and runtime systems
Collaborate with hardware engineering teams to influence chip design, server architecture, and cooling system optimization
Work closely with data center operations teams to implement and validate optimization strategies
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) 4+ years of data scientist experience
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
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