As aConversational AI Data Analyst
Job Responsibilities
- Manage, monitor, and evaluate the CDA intent and entity taxonomy.
- Work closely with Product Managers, ML Engineers, and Analytics by providing linguistic expertise and direction for new NLP capabilities (e.g., dialogue, ambiguity, inference).
- Partner closely with Annotation Lead to review and optimize training data and enable meaningful and measurable outcomes.
- Design extended analytic frameworks and semantic representations to support richer NLU models.
- Develop and maintain documentation on Natural Language Understanding processes, guidelines, and best practices.
- Conduct conversational analysis in close partnership with the Analytics team to identify patterns, anomalies, and opportunities for improvement.
- Develop innovative conversation analysis strategies aimed at automating processes and enhancing efficiency.
- Work closely with the design and experience teams to provide conversational insights and recommendations.
- Compile reports to effectively communicate analysis findings and actively participate in cross-functional meetings.
- Communicate insights and recommendations to stakeholders in a clear and actionable manner.
Required Qualifications, Capabilities, and Skills
- 3+ years of experience in Data Analytics, Conversational AI, Computational Linguistics, or Natural Language Processing.
- Background in linguistic analysis, especially syntax, semantics, and/or pragmatics.
- Advanced knowledge of conversational AI product development life cycle, training, design, and conversation analysis.
- Proven experience in conversation analysis, customer experience, or a similar role.
- Strong analytical skills with the ability to interpret complex data sets.
- Proficiency in creating, managing, and optimizing taxonomy and entities.
- Excellent communication and presentation skills.
- Ability to work collaboratively in a team environment.
- Experience with conversational AI platforms and tools.
- Familiarity with Python is a plus.
Preferred Qualifications, Capabilities, and Skills
- Master’s or PhD in Computational Linguistics, Data Science, or related fields.
- Experience working with Generative AI and LLMs.
- Demonstrated prior experience working in a highly matrixed, complex organization.
***Relocation assistance is not available for this role.