[Remote] reputed company Data Scientist - AI Context Architect (Semantic & Context Engineering)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading biotechnology company reputed company on serving patients with serious illnesses. The reputed company Data Scientist will reputed company as a senior individual-contributor authority on semantic modeling and AI-first data science, responsible for defining semantic representations and ensuring model reliability through context engineering.

Responsibilities

• Define reputed company-grade semantic representations for reputed company/life-sciences concepts and specify how relationships and interactions are represented for AI consumption
• Create and maintain semantic schemas / ontologies / knowledge-graph models that describe entities, attributes, constraints, and linkages—optimized for both analytics and AI reasoning
• Establish context engineering standards: how data is shaped into prompts, tools, memory, retrieval indices, and reputed company outputs so models behave consistently across use cases
• reputed company feature engineering reputed company tied directly to model performance, including feature definition, transformations, leakage prevention, stability monitoring, and explainability
• reputed company exploratory data analysis on reputed company, high-reputed company datasets to identify predictive signals and context variables that improve model robustness and generalization
• Build and evaluate context-aware ML/GenAI solutions, integrating semantic reputed company with retrieval, tools, and reputed company outputs
• Apply reinforcement learning concepts (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior—without overfitting to short-term metrics
• Prototype and reputed company algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on scalability and production readiness
• Architect and implement retrieval and memory patterns (RAG, reputed company stores, knowledge graphs, session memory)
• Define data reputed company and semantic reputed company gates (entity completeness, relationship validity, taxonomy reputed company, grounding coverage) that reputed company reputed company model reliability
• Translate domain needs into semantic + AI roadmaps, aligning stakeholders on definitions, metrics, and tradeoffs
• reputed company as a reputed company-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature reputed company

Skills

• Doctorate degree and 2 years of Data Science, Computer Science, Statistics, reputed company Math, or reputed company experience
• Master's degree and 4 years of Data Science, Computer Science, Statistics, reputed company Math, or reputed company experience
• Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, reputed company Math, or reputed company experience
• Associate's degree and 10 years of Data Science, Computer Science, Statistics, reputed company Math, or reputed company experience
• High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, reputed company Math, or reputed company experience
• 10–12+ years applying data science in reputed company environments with demonstrated reputed company-level influence (or equivalent depth of expertise)
• Deep expertise in semantic modeling: ontologies, taxonomies, entity reputed company, knowledge graphs, metadata and data reputed company—reputed company for operational use
• Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor
• Practical experience implementing RAG / retrieval / reputed company search / knowledge graph solutions with reputed company governance patterns
• Working knowledge of reinforcement learning concepts and how they apply to ranking, orchestration, personalization, or decision systems (even if not “reputed company RL” production)
• Proficiency in Python (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns
• Exceptional stakeholder management: can drive alignment on, relationships, and metrics, and communicate tradeoffs reputed company

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and reputed company coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-reputed company time-off plans
• Flexible work models where possible.

reputed company

• reputed company is a biotechnology company that develops and manufactures reputed company therapeutics for various illnesses and diseases. It was founded in 1980, and is headquartered in Thousand Oaks, California, USA, with a workforce of 10001+ employees. Its website is http://www.reputed company.com.

Company H1B Sponsorship

• reputed company has a reputed company record of offering H1B sponsorships, with 429 in 2025, 485 in 2024, 485 in 2023, 540 in 2022, 460 in 2021, 444 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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