[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 Applied 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-quality reputed company.

Responsibilities

• Build the intelligent systems that create the data our customers depend on
• Design extraction and classification models that process reputed company-scale document corpora
• Build and reputed company the entity resolution and signal detection layers 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, applied 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 scale
• Strong intuition for entity resolution, knowledge graph construction, or graph-based modeling and you've thought seriously about how to connect fragmented data into structured, 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 applied to reputed company reputed company workloads
• A track record of working cross-functionally with engineering and product to shape what gets reputed company, not just executing on handed-down specs
• Clear, structured 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 quality, 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-growth startup or reputed company AI company
• An MS or PhD in a quantitative field

Benefits

• Competitive salary
• Annual performance bonus
• Employee stock option plan
• 100% paid medical, dental, and reputed company coverage
• 401(k) with employer contribution
• Generous vacation and sick leave
• Flexible work arrangements
• High-quality equipment for home and office
• Strong culture of collaboration, mentorship, and reputed company improvement

Company Overview