LexisNexis · 1 day ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$103K/yr - $171K/yr
5+ years expLexisNexis is a global provider of information-based analytics and decision tools for professional and business customers. The role involves designing and evolving a multimodal document understanding and structured data extraction platform, leading model strategies, and ensuring quality assurance and compliance in outputs.
AccountingLegalRisk ManagementSoftware
Responsibilities
Design and iterate the multimodal document parsing pipeline: layout / structural modeling, semantic extraction, cross‑modal alignment, structural reconstruction
Build and optimize a multi‑agent collaboration mechanism: task splitting, parallel / sequential scheduling, peer review, iterative quality improvement loops
Define model selection / composition / routing strategies (dynamic dispatch by document type, structural patterns, quality signals)
Plan and execute model fine‑tuning, domain adaptation, continual learning, active learning, and data feedback loops
Establish end‑to‑end metrics: extraction accuracy, structural consistency, agent collaboration effectiveness, latency, stability, and cost
Build quality assurance and risk controls: drift & anomaly monitoring, confidence estimation, fallback strategies, alignment / compliance checks
Drive mapping and consistency between agent / model outputs and business knowledge field standards
Qualification
Required
Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.)
Experience: 5+ years of hands‑on machine learning / data science experience. Proven delivery experience in multimodal (vision + text) or complex document understanding. Practical cases of orchestrating agents (or modular processing logic) in production workflows
Capabilities: Solid foundation in machine learning / deep learning fundamentals, multimodal representations, and cross‑modal alignment concepts. Deep understanding of core principles and common algorithms for multimodal large models: cross‑modal attention & representation alignment, vision/text embedding fusion, hierarchical & layout structure modeling, instruction & contrastive paradigms, long‑context and retrieval‑augmented mechanisms, evaluation and failure mode dissection. Familiar with classic image and signal processing methods: edge & contour detection, filtering & denoising, morphological operations, segmentation & keypoint feature extraction, frequency / time‑frequency analysis, image enhancement & quality assessment; understands trade‑offs and complementarity with deep features. Knowledge of multi‑agent collaboration patterns: role assignment, task routing, feedback loops, redundancy & cross‑checks. Strong in statistical analysis & experimental design: hypothesis testing, factorial design, power analysis, A/B and multivariate evaluation. Able to decompose complex problems and build metric‑driven optimization paths. Rigorous in data quality & error analysis; rapid bottleneck identification. Ability to translate research pseudo‑code into maintainable, testable Python modules with benchmarking & regression harnesses
Preferred
Designed customization / fine‑tuning of multimodal foundation models, representation learning, or structural understanding subsystems
Built an agent orchestration platform: task decomposition, iterative self‑checks, consensus or voting mechanisms
Experience solving robustness & generalization challenges in large‑scale long documents / heterogeneous layouts
Demonstrated results in cost optimization (model pruning, parameter‑efficient tuning, inference acceleration) or adaptive load scheduling
Publications / patents or open‑source contributions
Demonstrated Python systems optimization (e.g., custom Cython / CUDA kernels, vectorization replacing Python loops, latency reductions in inference pipelines)
Company
LexisNexis
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses.
10001+ employees
H1B Sponsorship
LexisNexis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (9)
2023 (108)
2022 (138)
2021 (87)
2020 (64)
Funding
Current Stage
Late StageTotal Funding
$30MKey Investors
EquivoActua Corporation
2021-06-16Corporate Round
2000-03-22Series Unknown· $30M
1994-10-05Acquired
Leadership Team
Eric Bonnet-Maes
CEO - LexisNexis Continental Europe, Middle East and Africa
Sean Fitzpatrick
CEO LexisNexis North America, UK & Ireland
Recent News
2026-01-03
Business Insider
2025-12-12
LexisNexis on X (formerly Twitter)
2025-11-30
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