Founding Data Scientist — AI-Driven Family Analytics

AI ECD Inc.

San Jose (CA)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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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

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.

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