This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior BI Data Researcher based in United States.
This is a senior research and engineering opportunity focused on solving complex challenges across the modern data landscape.
You will investigate advanced approaches to data management, quality, integration, analytics, and discovery across heterogeneous data environments.
The role combines distributed systems, big data, applied AI, machine learning, and data science to develop scalable solutions.
You will build tools and frameworks that support machine learning across structured and unstructured data, including text, audio, video, and time-series datasets.
You will also explore innovative architectures that use distributed and edge computing to enable new data-driven applications.
The position offers a highly technical environment where research ideas are translated into practical systems, frameworks, and analytical capabilities.
You will collaborate with peer research teams to identify opportunities at the intersection of data management, AI, and emerging technologies.
Accountabilities
- 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 such as predictive routing, data-driven experiences, and adaptive environments.
- 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.
- Collaborate with peer research teams to identify and pursue opportunities involving applied AI and machine learning, including emerging applications involving audio and video data.
- Translate research findings into practical tools, frameworks, prototypes, and scalable data solutions.
- Contribute to technical documentation, project planning, version control, and collaborative development practices.
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.
- Comfortable working independently in a fully remote environment while collaborating with distributed research and engineering teams.
Benefits
- Annual salary of $140,000–$160,000.
- Full-time, direct-hire employment.
- 100% remote work within the United States.
- Opportunity to work on advanced problems spanning big data, distributed systems, AI, machine learning, and data science.
- Exposure to research-driven projects involving heterogeneous data, edge computing, and emerging technologies.
- Collaborative environment with opportunities to work alongside peer research teams.
- Opportunity to develop scalable frameworks and solutions with potential applications across multiple data domains.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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