To apply, please fill out this form:
https://www.careyaya.org/opportunities/Data_Science_Internship
Data Science Internship (Fall 2025 / Rolling)
About CareYaya
CareYaya is a mission-driven platform connecting families with vetted college student caregivers to make high-quality elder care more affordable and joyful. We’ve been recognized nationally for innovation in aging and home care, and we’re growing fast. Join us to build data products that make it easier for older adults and families to get the help they need—when they need it.
The Role
We’re looking for a Data Science Intern who loves turning messy, real-world data into simple, high-impact decisions. You’ll work across our marketplace, growth, and operations teams to design experiments, build predictive models, and ship dashboards that drive day-to-day outcomes for caregivers and families.
What You’ll Work On
Matching & Recommendations: Prototype and evaluate models that pair families with the right caregivers (availability, skills, distance, reliability).
Trust & Safety Signals: Create features and rules that improve platform integrity (no-shows, response times, quality flags).
Operations Analytics: Forecast supply/demand by market; build cohort, retention, and funnel analyses to guide city launches.
Experimentation: Design/prioritize A/B tests; analyze lift and tradeoffs; recommend rollouts.
Self-Serve Insights: Build maintainable dashboards (e.g., marketplace health, SLA adherence) for non-technical teammates.
LLM-Assisted Workflows (nice to have): Rapid prototypes for profile quality checks, text classification, and support tooling.
You’ll Succeed Here If You
Are fluent in Python (pandas, NumPy), SQL, and Jupyter/Notebooks.
Know the basics of machine learning (scikit-learn), feature engineering, and model evaluation.
Can communicate results crisply with data visualization (Plotly/Matplotlib) and slide-worthy summaries.
Understand experiment design (A/B tests), causality basics, and common pitfalls.
Are organized and product-minded: you ship incrementally, document decisions, and measure outcomes.
Care about the mission and can handle sensitive data with maturity (we follow strict privacy practices).
Nice-to-Haves
Experience with dbt, cloud warehouses (BigQuery/Snowflake/Redshift), or Postgres.
Marketplace analytics, route/ETA modeling, or operations research.
NLP/LLM experience for text classification or quality scoring.
Prior work in healthcare, public health, aging, or social impact.
What Success Looks Like (by 90 days)
One shipped dashboard in routine use by ops or growth.
One scoped and delivered modeling project (e.g., caregiver matching or show-up risk) with measurable lift or clear next steps.
A short internal write-up documenting approach, metrics, and recommendations.
What We Offer
Meaningful problems with direct impact on families and caregivers.
Mentorship from a small, fast team that blends product, ops, and data.
Flexible hours, remote-friendly culture, and exposure to mission-driven startup building.
A strong line on your resume—real projects, real users, real outcomes.
How to Apply (Fastest Path)
https://www.careyaya.org/opportunities/Data_Science_Internship
