Principal Data Scientist I

About this RoleWe are looking for a Principal Data Scientist I to join our Data Science / Embedded AI Innovation team at LexisNexis. This senior individual‑contributor role is ideal for a highly skilled and experienced generalist data scientist who can independently lead complex AI, machine learning, NLP, analytics, experimentation, evaluation, cloud, and application development initiatives.Key ResponsibilitiesLead the design, development, experimentation, and evaluation of AI/ML solutions across multiple product and engineering initiatives.Operate as a generalist across machine learning, NLP, generative AI, analytics, experimentation, model evaluation, application development, cloud engineering, and applied data science use cases.Develop and improve models, prompts, retrieval strategies, evaluation methods, and data‑driven approaches for product‑facing AI capabilities.Translate ambiguous business problems into structured data science approaches, measurable objectives, and executable delivery plans.Design, build, and iterate on AI‑enabled applications, prototypes, internal tools, APIs, services, and proof‑of‑concepts.Partner with engineering teams to transition prototypes and data science solutions into scalable, production‑ready systems.Design and develop cloud‑native AI/ML and data science solutions using AWS services such as S3, Lambda, API Gateway, IAM, CloudWatch, Redshift, Bedrock, Glue, ECS, and ECR.Manage technical workstreams: define priorities, break down work, track dependencies, and coordinate delivery across teams.Lead the design and evaluation of LLM‑based and NLP‑based solutions, build evaluation frameworks, perform error analysis, and support responsible AI practices.Define success metrics, design experiments, analyze model performance, and communicate data‑driven insights to technical and non‑technical stakeholders.Collaborate cross‑functionally with Product Management, Engineering, Architecture, UX, Analytics, Platform, and Security to deliver high‑impact AI and data science solutions.Technical Skills RequiredStrong generalist data science background across machine learning, NLP, analytics, experimentation, applied AI, and cloud‑based solution delivery.Hands‑on experience designing, building, evaluating, and improving machine learning or data‑driven applications, including prototypes, APIs, backend services, and automation workflows.Proficiency in Python and common data science/machine learning frameworks; strong SQL skills for working with large, complex datasets.Extensive experience with AWS services (S3, Lambda, IAM, API Gateway, CloudWatch, Step Functions, Glue, SageMaker, Bedrock, ECS, ECR, or similar). Demonstrated ability to design secure, scalable, reliable, and observable cloud‑native solutions.Experience with generative AI, LLM‑based applications, prompt evaluation, retrieval‑augmented generation, NLP, or related applied AI techniques.Knowledge of statistical analysis, experimentation, model validation, evaluation design, and performance measurement.Experience defining AI/ML quality metrics and translating model performance into business or product outcomes.Familiarity with MLOps, CI/CD, model monitoring, observability, and production AI system deployment.Strong communication skills and ability to explain complex technical topics to senior stakeholders, product teams, and engineering teams.Ability to lead technical workstreams without direct people‑manager responsibilities.Good to have: customer support/operations domains, full‑stack or backend development (React, Streamlit, Flask, FastAPI, Node.js, etc.), experience with AWS Bedrock (Agentcore, Redshift, OpenSearch), search/summarization/classification, or building evaluation frameworks for generative AI.Education RequirementsBachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Software Engineering, or a related technical field (required).Master’s degree or PhD in Data Science, Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering, or a related technical field (preferred).Benefits and CompensationU.S. National Base Pay Range: $118,300 – $219,800. Geographic differentials may apply.Annual incentive bonus eligible.Country‑specific benefits and comprehensive wellness package.Focus on well‑being and professional growth; inclusive hiring process.Equal Opportunity EmployerWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. #J-18808-Ljbffr