Amazon · 13 hours ago
Sr. Data Scientist- Computer Vision, Data & Machine Learning (DML)
Amazon Web Services, Inc. is seeking a Sr. Data Scientist specializing in Computer Vision and Machine Learning. The role involves developing computer vision models on overhead imagery, managing the entire machine learning development lifecycle, and collaborating with a team to deliver high-impact solutions for a government customer.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
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
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
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