Founding Data Scientist / Data Analyst

We are the team behind Kidooo AI, the AI agent for personalized parenting and child development. We help parents understand their child’s progress, turn everyday observations into clear next steps, and build more confident daily routines. We want someone who can define what progress actually means for a family, measure it honestly from imperfect real-world data, and tell us when the numbers do not support the story we want to tell.

• The metrics that matter: Define what activation, retention, and genuine parent value look like for Kidooo, and build the reporting that makes them visible across the team.
• Funnel visibility across the core flows: Instrument and analyze onboarding, video upload, processing, results, daily practice steps, and progress tracking, so we know exactly where families drop off and why.
• Developmental analytics: Turn sparse, irregular, parent-reported observations into defensible signals about a child’s progress. This is messy longitudinal data with real missingness, and it sits directly behind the progress tracking parents see.
• Experimentation practice: Stand up an approach that works at early-stage sample sizes, where classic A/B testing is often underpowered and the honest answer is sometimes “we cannot tell yet.”
• Personalization inputs: Build the segmentation and cohorting that lets our AI systems adapt to a family’s context, in close partnership with engineering.
• Market and competitive intelligence: Track the parenting and child development landscape, including competitor positioning, pricing, and feature moves, and turn it into analysis that informs what we build next and how we position it.

• Quantitatively strong: BS or MS in Statistics, Data Science, Economics, Computer Science, or a related field, or equivalent demonstrated ability. Portfolio, dashboards, or shipped analyses count more than the degree.
• 2+ years in analytics or data science on a real product. Strong Python; working SQL is enough. What matters more is that you are AI-native: you use LLMs and modern AI tooling as a normal part of how you explore data, prototype, and ship. You have owned analyses that changed a product decision, not only analyses that were presented.
• A clear communicator: You can explain a confidence interval to a founder, a designer, and a parent, and you write conclusions people can act on.
• A full-range builder: You move between a simple dashboard and a retention model without ceremony, build your own instrumentation rather than inheriting it, and stay honest with sparse longitudinal data, including when the honest answer is that the sample cannot support a conclusion yet.
• Mission-driven owner: You care deeply about parenting and child development, you define the question rather than waiting to be handed it, and you measure success by whether families using Kidooo are actually better off.

Nice to have: background in developmental psychology, epidemiology, education research, or health outcomes; experience with psychometrics or validated assessment instruments; causal inference beyond A/B testing; prior work in health, edtech, or other high-trust domains.