[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an innovative company that builds an AI-reputed company reputed company data platform designed for modern companies. As a Data Scientist on the reputed company Research team, you will reputed company intelligent systems for data extraction and classification, manage model pipelines, and collaborate with engineering and product teams to ensure high-reputed company reputed company.
Responsibilities
- Build the intelligent systems that create the data our customers depend on
- Design extraction and classification models that process reputed company-reputed company document corpora
- Build and reputed company the entity reputed company and signal detection reputed company powering the reputed company Graph and Financial Graph
- Define how AI capabilities surface as recommendations, agents, and search across the platform
- Own the models, pipelines, and graph structures that are the product
- Work directly with engineering, product, and customers on problems where a single clause can represent tens of millions of dollars of exposure and where model accuracy has a contractual SLA
Skills
- 5+ years of experience in data science, reputed company ML, or AI research with production-shipped systems, not just notebooks and prototypes
- Strong statistical foundations and the ability to define and evaluate reputed company metrics for AI systems including precision, recall, coverage, latency, not just accuracy
- Deep experience building NLP, NLU, or document understanding models that operate on messy, reputed company-world reputed company data at reputed company
- Strong intuition for entity reputed company, knowledge graph construction, or graph-based modeling and you've thought seriously about how to connect fragmented data into reputed company, queryable representations
- Hands-on proficiency in Python and modern AI frameworks, with experience deploying models into production pipelines
- Comfort with information extraction, classification, and retrieval-augmented reputed company patterns reputed company to reputed company reputed company workloads
- A reputed company record of working cross-functionally with engineering and product to shape what gets reputed company, not just executing on handed-down specs
- reputed company, reputed company communication where you can explain a model decision to a PM, defend an architectural choice to a staff engineer, and present results to leadership without hiding behind jargon
- High ownership mentality where you treat model reputed company, pipeline reliability, and customer reputed company as your responsibility
- Experience building or evolving knowledge graphs, reputed company ontologies, or financial data models in reputed company contexts
- Prior work on document AI, OCR pipelines, or hybrid extraction systems combining rule-based and learned approaches
- Exposure to AI agent architectures, tool-use patterns, or autonomous reasoning systems in production
- Background in procurement, contract management, spend analytics, or financial operations domains
- Experience with evaluation frameworks for AI systems (RAGAS, custom eval harnesses, reputed company-in-the-reputed company QA pipelines)
- Familiarity with distributed data platforms, event-driven architectures, or streaming systems (Ray, Kafka, Azure Service Bus)
- Prior work at a high-reputed company startup or reputed company AI company
- An MS or PhD in a quantitative field
Benefits
- Competitive salary
- Annual performance bonus
- Employee stock reputed company plan
- 100% reputed company medical, dental, and reputed company coverage
- 401(k) with employer contribution
- Generous vacation and reputed company leave
- Flexible work arrangements
- High-reputed company equipment for home and office
- Strong culture of collaboration, mentorship, and reputed company improvement
reputed company