Senior Manager, Data Science – Gen AI, Content Systems

🔥 0 minutes ago

🌽 Illinois, New York, +3 more states – Remote

🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote ❄️ Minnesota – Remote ☕ Washington – Remote

💵 $118.3k - $219.8k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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LexisNexis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1970

⚖️ Legal

💼 Consulting

🏥 Healthcare

💰 Corporate Round on 2021-06

Legal • Consulting • Healthcare

LexisNexis is a provider of professional solutions tailored for law firms, corporations, government agencies, and academic institutions. It offers legal solutions, news, and business insights. LexisNexis also provides risk solutions for companies and government agencies, focusing on data analytics for compliance, customer acquisition, fraud detection, health outcomes, identity solutions, investigations, receivables management, risk decisioning, and workflow optimization. As part of the RELX Group, LexisNexis is committed to enhancing digital experience through data and analytics.

📋 Description

• Set the vision and strategic priorities for Data Science across the content ecosystem • Lead and develop a team of data scientists and ML engineers • Drive applied research from rapid prototyping through production deployment • Build and scale offline evaluation frameworks, benchmarking pipelines, and human-in-the-loop feedback systems • Collaborate across Data Science teams to maximize reuse of components and patterns • Define and execute the AI roadmap across the content lifecycle • Design and deploy production-grade AI systems, including LLM document understanding, agentic workflows, RAG pipelines, and hybrid ML/rules systems • Write code, build and demonstrate prototypes, and directly contribute to experiments and production models • Establish best practices for model development, evaluation, monitoring, prompt engineering, data preparation, and feature engineering • Partner with engineering, architecture, and product leaders to integrate AI into distributed systems and ensure performance, scalability, and reliability • Translate ambiguous problems into project plans and lead teams through delivery • Mentor and grow multidisciplinary LLM-focused Data Scientists and ML Engineers • Drive collaboration with Legal SMEs, Data Engineers, Product Managers, and Design • Oversee infrastructure for continuous delivery and monitoring of LLM systems in production

🎯 Requirements

• Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience • Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI • 8+ years of relevant experience in data science, machine learning, or applied AI • 4+ years of leadership experience with direct or indirect team management • Demonstrated impact, technical depth, and leadership • Ability to select appropriate tools and technologies for business problems • Proficiency with Python • Proficiency with Google ADK, LangChain, ML frameworks such as TensorFlow and PyTorch, and prompt tuning techniques • Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture • Experience working with structured and unstructured data at scale • Ability to design and implement data pipelines and preparation workflows • Experience integrating ML into complex, multi-stage processing systems • Working knowledge of containerization, CI/CD, RESTful API design, and model serving tools • Cloud infrastructure experience with AWS, Azure, or GCP • Familiarity with AI coding tools such as GitHub Copilot, Claude Code, and OpenAI Codex • 8+ years of post-degree experience, including 4+ years in a data science or applied AI leadership role focused on NLP/LLM systems • Prior legal tech, legal AI, or document-intensive domain experience highly desirable • Familiarity with ethical and legal considerations in professional generative AI deployments

🏖️ Benefits

• Flexible working hours • Wellbeing initiatives • Shared parental leave • Study assistance • Sabbaticals • Comprehensive, multi-carrier medical, dental and vision benefits • 401(k) with match • Employee Share Purchase Plan • Wellness platform with incentives • Headspace app subscription • Employee Assistance and Time-off Programs • Short- and Long-Term Disability Insurance • Life and Accidental Death Insurance • Critical Illness Insurance • Hospital Indemnity • Family benefits, including bonding and family care leaves, adoption, and surrogacy benefits • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts • Up to two days of paid leave each to participate in Employee Resource Groups and volunteer with a charity • Annual incentive bonus