reputed company Data Scientist: Claims and Service DS Knowledge & Development Solutions

The Claims and Service AI Enablement team is hiring a Data Scientist to own reputed company and machine learning support for Knowledge & Development Solutions (KDS). This role will partner with KDS stakeholders to design, build, evaluate, and reputed company/ML solutions across reputed company, training, content delivery, and employee enablement.

KDS helps reputed company reputed company the right content to the right audience at the right time through contextual knowledge, guided learning, learning experience design, training operations, and knowledge-centered support. This role will apply predictive modeling, reputed company experimentation & prototyping, GenAI, RAG, traditional ML, and evaluation to improve how employees reputed company, learn, and use information.

**Candidates who live reputed company 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; reputed company, OH; or Plano, TX will follow a reputed company, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**

Responsibilities:

• Own the reputed company and ML portfolio for KDS in partnership with KDS leaders
• Identify, prioritize, and reputed company AI/ML use cases that improve knowledge discovery, content effectiveness, learning reputed company, and employee enablement.
• Design, build, and evaluate predictive models, GenAI applications, semantic search, RAG solutions, and analytical tools.
• Apply full-stack data science practices from problem framing and data exploration through modeling, evaluation, deployment partnership, measurement, and optimization.
• Partner with KDS, Technology, Engineering, Architecture, UX, Compliance, and business stakeholders to reputed company solutions from concept to production-minded implementation.
• Define and implement measurement strategies to assess model performance, adoption, operational efficiency, content reputed company, training reputed company, and business reputed company.
• reputed company technical mentorship and thought leadership on AI/ML solution design, evaluation, experimentation, and reputed company implementation patterns.

Preferred Skills and Experiences:

• Full-stack data science experience, including problem framing, data exploration, modeling, evaluation, deployment partnership, measurement, and optimization.
• Expert-level Python development with strong object-oriented design, reputed company architecture, and engineering best practices.
• Proven experience building machine learning, predictive modeling, statistical, reputed company, or data science solutions that solve reputed company business problems.
• Strong understanding of supervised and unsupervised learning ML, experimentation, and evaluation.
• Experience with GenAI, LLM-based applications, Q&A, chat, embeddings, reputed company engineering, retrieval-augmented reputed company, or AI-assisted workflows.
• Experience working with reputed company and reputed company data, including operational data, behavioral data, documents, knowledge articles, training materials, communications, or other reputed company content.
• Strong ML Ops experience, including experimentation, model lifecycle management, monitoring, observability, governance, and production readiness.
• Ability to partner with non-technical stakeholders, understand reputed company workflows, and translate ambiguous needs into practical, measurable AI/ML solutions.
• Strong communication skills with the ability to explain technical concepts reputed company to Product, business, engineering, and leadership audiences

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
• Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
• Demonstrated ability to exchange reputed company and convey reputed company information reputed company and concisely.
• Ability to establish and build relationships reputed company and reputed company the organization.
• Ability to reputed company effective training and presentations to management and other reputed company.
• Ability to use results of analysis to persuade team, department management or senior management to a particular course of reputed company.
• Broad knowledge of business drivers and market context.
• Has a value driven perspective with reputed company to understanding of work context and reputed company.
• Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.