Sr. Data Researcher

Role Description

We are interested in a variety of topics including:

• Big data management
• Self-service data cleaning and transformation at scale
• Data quality
• Search and discovery of structured data
• Information extraction
• Time-series and heterogeneous data analytics
• Metadata management
• Applied AI
• Machine learning and data mining
• Data visualization
• Natural language processing
• Big data systems including resource management, storage, caching, query processing, query optimization, security, and privacy

Qualifications

• PhD in Computer Science, or similar fields
• Background in relational databases, big data systems, and data analytic systems
• Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science

Requirements

• Do you have a Ph.D.?
• Do you have a background in relational databases, big data systems, and data analytic systems?
• Are you familiar with git and project management tools, such as JIRA?

Key Responsibilities

• Investigate heterogeneous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration, and schema matching.
• Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio, and video.
• Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
• Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.

Benefits

• Base Salary: $140,000 - $160,000
• 100% REMOTE