Senior BI Data Researcher
New
J
JobgetherSecurity & IT
100% remote work within the United States.Full-TimeSenior
Salary140,000 - 160,000 USD per year
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Job Details
- Required Skills
- GitMachine LearningJiraData scienceNLPDistributed Systems
Requirements
- PhD in Computer Science or a closely related technical field.
- Strong academic or professional background in relational databases, big data systems, and data analytics systems.
- Deep expertise in data management, data cleaning, distributed systems, database storage engines, query processing, and query optimization.
- Demonstrated experience applying data science and machine learning techniques to real-world or research problems.
- Hands-on experience developing machine learning models and data science algorithms across diverse data types, including tabular, time-series, text, audio, and video.
- Strong understanding of scalable data processing architectures and distributed computing concepts.
- Knowledge of data integration, schema matching, data quality, data profiling, metadata, or related data management challenges.
- Ability to investigate complex technical problems independently and translate research concepts into practical implementations.
- Familiarity with Git and project management tools such as JIRA.
- Strong analytical, research, technical communication, and cross-functional collaboration skills.
Responsibilities
- Investigate heterogeneous data management techniques and polystore architectures, applying AI and machine learning to challenges such as data quality, data profiling, data integration, and schema matching.
- Research and develop scalable tools and frameworks for machine learning models and data science algorithms across multiple data domains, including tabular, time-series, text, audio, and video data.
- Design and develop distributed data processing architectures that leverage edge computing to support innovative use cases.
- Explore advanced approaches to data management, including storage, caching, query processing, query optimization, resource management, security, and privacy.
- Conduct research into data analytics, information extraction, metadata management, search and discovery, data visualization, natural language processing, and related areas.
- Translate research findings into practical tools, frameworks, prototypes, and scalable data solutions.
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