Sr. Data Researcher || 100% REMOTE

Job Title Sr. Data Researcher

Location 100% REMOTE

Base Salary $140,000 $160,000

JOB #. 83483208

Industry: Education / Training / Libraries

Job Category: Information Technology Business Intelligence

*** Client 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.