Founding Data Scientist / Data Analyst

AI ECD Inc.; San Jose (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly culture

In-person Bay Area collaboration

Job summary

AI ECD Inc. is seeking a data-driven analytics expert to define what progress means for families and to build reporting that reveals activation, retention, and value across the product.

You will work with the founding team to instrument key flows and turn parent observations into defensible signals about child progress. Ideal candidates have 2+ years in analytics for real products, strong Python/SQL, and experience with AI tooling and longitudinal data.

Qualifications

• 2+ years in analytics or data science on a real product.
• Strong Python and SQL proficiency.
• Experience communicating insights to non-technical stakeholders.
• Experience with AI tooling and LLMs.

Responsibilities

• Define metrics for activation, retention, and value for families.
• Instrument onboarding and core user flows for analysis.
• Build dashboards and models to track progress and outcomes.
• Apply longitudinal analytics with imperfect data and missingness.
• Lead small-sample experimentation and contextualize results.
• Collaborate with engineering for personalization inputs and product decisions.

Skills

Python

SQL

Data analysis

AI tooling

Communication

Problem solving

Education

BS/MS in Statistics or Data Science or Economics or CS

Portfolio, dashboards, or shipped analyses

Tools

Jupyter

Amplitude

PostHog

Metabase

Looker

Job description

Remote · Bay Area ideal Full-time · Founding team AI ECD Inc.

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 stack

Analysis

Python (pandas, scikit-learn) Jupyter Cohort and funnel analysis Longitudinal methods

Data

Amplitude or PostHog Metabase or Looker A/B testing Bayesian methods for small samples

Agile

Slack JIRA Google Workspace Weekly sprints

What you will build

• 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.

Who you are

• 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.

Purpose

Build technology that helps families make confident child-development decisions.

Ownership

Work alongside founders to build our data foundation and decision-making culture from zero to one.

Hybrid culture

Remote-friendly culture with regular in-person collaboration for Bay Area team members.

Ready to measure something that matters?

Open to remote; Bay Area local is ideal. We'd love to hear from you.