Amazon Web Services (AWS) · 7 hours ago
Sr. Data Scientist- Computer Vision, Data & Machine Learning (DML)
Amazon Web Services (AWS) is seeking a Sr. Data Scientist specializing in Computer Vision and Machine Learning to join their team. The role involves developing computer vision models on overhead imagery for government clients, managing the entire machine learning development lifecycle, and collaborating with a team of data scientists and engineers.
Artificial Intelligence (AI)Cloud ComputingConsultingSoftwareInformation TechnologyAgentic AIDevOpsWeb Development
Responsibilities
Run data conversion pipelines to transform customer data into the structure needed by models for training
Perform EDA on the customer data
Train deep neural network models on overhead imagery
Develop and implement hyper-parameter optimization strategies
Test and Evaluate models and analyze results
Package and deliver models to the customer
Incorporate model R&D from low-side researchers
Implement new features to the model development code base
Collaborate with the rest of the team on long term strategy and short-medium term implementation
Contribute to presentations to the customer regarding the team’s work
Qualification
Required
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
2+ years of experience with machine learning, statistical modeling, data analysis tools and techniques, and performance parameters for computer vision delivery requirements
Current, active US Government Security Clearance of Top Secret or above
Preferred
3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Familiarity with internals of LLMs, VLMs, and traditional Computer Vision object detection models
Benefits
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Recent News
2026-02-13
2026-02-13
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