Senior Data Research Scientist (REMOTE)

• Job Title – Sr. Data Researcher
• Location – 100% REMOTE
• Base Salary – $140,000 – $160,000
• Industry: Education / Training / Libraries

• *** Screening Questions ***
• 1- Do you have Ph. D?
• 2- Do you have background in relational databases, big data systems, and data analytic systems?
• 3- Are you familiar with git and project management tools, such as JIRA ?

• Ideal Candidate
• 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

Job Details:

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 heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems’ concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.

Key Responsibilities:

• Investigate heterogenous 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.