The USPTO is seeking a Senior Data Engineer to support the modernization, automation, and innovation of applications, driving business value and strategic insights.
Requirements
- Programming Languages: Python, R, SQL
- AI, ML, NLP Frameworks, models, and tools
- Machine Learning & Statistical Tools: PyTorch
- Data Manipulation & Analysis
- Visualization Tools: Tableau, Power BI
- Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP
- Version Control & Collaboration: Git, Docker
Responsibilities
- Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
- Develop plans for AI/ML/NLP innovations that are compliant with USPTO cybersecurity policies.
- Develop pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
- Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization to Operate certifications.
- Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
- Conduct exploratory data analysis and generate actionable insights from large and complex datasets.
- Develop reusable code libraries and best practices for modernization and innovation development and deployment.
Other
- Bachelors' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum 7 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role.
- Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations.
- Candidates must have lived in the United States for the last 2 years.
- Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment.
