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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist- Conversational AI & NLU - **Company:** CITIZENS INC - **Location:** Westwood, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $124,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Computer Programming, Python (Programming Language), Machine Learning, Named Entity Recognition, Speech Recognition, Amazon Connect, Data Logging, Chatbots, Large Language Models, Information Technology, Performance Monitor, Amazon Lex, Natural Language Understanding - **Published:** July 4, 2026 - **Apply:** https://www.financialjobbank.com/job.asp?id=3311590100&tx=ZT1817TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field * 5+ years of experience in data science, with at least 3+ years focused on conversational AI, NLU, or NLP-driven systems * Strong programming and analytical skills in Python, applied primarily to modeling, experimentation, and evaluation * Hands-on experience with LLM Evaluation frameworks like RAGAS, DeepEval, LangSmith, etc. * Proven ability to design, run, interpret, and communicate the results of NLU and conversational AI experiments, translating insights into concrete model and conversation improvements * Experience supporting text- and voice-based, multi-turn, actionable conversational experiences within contact center or customer-facing platforms * Strong communication skills with demonstrated ability to explain complex analytical concepts to technical and non-technical stakeholders, * Hands-on experience with Amazon Connect, Amazon Bedrock, or Amazon Lex * Practical experience applying LLMs and GenAI techniques to conversational or customer experience use cases * Familiarity with IVR analytics, conversational logging frameworks, call transcripts, and speech-to-text data analysis * Experience working in banking, financial services, or other regulated enterprise environments ## Description The Senior Data Scientist - Conversational AI & NLU is responsible for designing, developing, evaluating, and optimizing conversational AI solutions across chat and voice channels. This role focuses on GenAI-driven conversational experiences, agentic multi-turn conversations, and rigorous evaluation of NLU and LLM-based systems, while serving as a primary interface between business stakeholders and data science delivery teams., * Design, develop, and optimize GenAI-powered conversational AI solutions using advanced prompting strategies, structured evaluation frameworks, continuous monitoring, and solution performance reporting * Build and improve agentic, multi-turn conversational experiences with robust context management, memory strategies, and conversation state handling * Own experimentation and evaluation of NLU, LLM, and conversational AI solutions, including hypothesis definition, metric design, error analysis, and recommendation of targeted improvements * Act as the primary data science partner to business stakeholders by gathering requirements, clarifying objectives, translating needs into actionable analytical and modeling tasks, and driving execution to measurable outcomes * Assign, coordinate, review, and provide technical guidance on work delivered by onshore and offshore data scientists, ensuring analytical rigor, consistency, and timely delivery * Support end-to-end delivery of conversational AI and NLU capabilities for IVR and chat solutions, including intent understanding, entity extraction, dialogue flows, and conversational quality assessment * Analyze conversation data such as chat logs, call transcripts, and speech-to-text outputs to identify gaps, failure modes, and optimization opportunities across user journeys * Define and report solution-level KPIs related to conversation success, containment, task completion, accuracy, customer effort, and overall experience quality * Ensure conversational AI solutions align with enterprise standards, governance, and regulatory expectations, particularly in highly regulated environments ## Related Videos - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) - [Build Delightful Mobile Experiences with Kotlin, Realm, and Atlas Device Sync](https://www.wearedevelopers.com/videos/694-build-delightful-mobile-experiences-with-kotlin-realm-and-atlas-device-sync) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [WWC24 Talk - Scott Hanselman - AI: Superhero or Supervillain?](https://www.wearedevelopers.com/magazine/469-wwc24-talk-scott-hanselman-ai-superhero-or-supervillain) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)