The company is looking to drive product improvements through behavioral analytics, conversational data, and empirical user insights for their AI assistant, and is seeking a Data Scientist with a Quant research background to help shape the direction of their product and build their data foundation.
Requirements
- 2+ years of work experience in data querying languages (SQL), and programming languages for data manipulation (Python or R)
- Experience in survey methodology (ie. survey design, sampling, and analysis)
- Experience in analyzing AI conversational data (ie, topic modeling)
- Experience in statistical analysis (ie. regressions, causal inference, clustering)
- Experience owning and delivering quantitative research or data science solutions and driving results
- Expertise in multivariate statistics and the design of experiments
- Experience in AI-driven product research
Responsibilities
- Build and scale quantitative UX methodologies to enhance data-driven decision making across the organization
- Design and conduct quantitative research studies, with a focus on survey design and deployment, and behavioral data analyses to understand user satisfaction, behavior, retention, and AI-engagement patterns
- Perform user segmentation and clustering analysis to uncover user patterns and product opportunities
- Conduct analyses to extract meaningful patterns from complex user interaction data
- Establish key analytics frameworks, UX and success metrics, to ensure we track and optimize the right signals at launch and beyond towards product-market fit
- Define key performance metrics and success indicators for AI assistant performance and user satisfaction
- Collaborate with Engineering to ensure appropriate tracking and event-logging implementation onto product analytics platforms (e.g., Posthog)
Other
- 7+ years of experience working as a quantitative researcher, data scientist, or related role
- Advanced degree (MS/PhD) in Human-Computer Interaction, Statistics, Psychology, Data Science, Behavioral Economics, or a related discipline
- Excellent storytelling and communication skills
- Self-starter and take ownership of your work end-to-end
- Comfortable with open-ended problems
