Role: Entry Level Data Scientist / Statistician (Volunteer)
Location: Remote • Flexible days/hours
🔍 About the Project
SCAP — the Stochastic Customer Analytics Platform — is an innovative privacy-first analytics and automation product designed for e-commerce and subscription businesses. SCAP enables companies to:
- Predict customer churn
- Model customer lifetime value (CLV) using stochastic (probability-based) models
- Optimize marketing budgets and retention campaigns
- Integrate with modern MarTech tools (Klaviyo, HubSpot, Notion, Slack, etc.)
SCAP already has a functional Shiny-based platform, a forecasting engine, and a strategic commercialization roadmap.
🌐 Learn more: https://stochasticanalytics.ai/
🎯 Who This Is Ideal For
- Someone looking to strengthen a portfolio with real product work
- Interested in CLV models, churn prediction, customer analytics, and marketing automation
- Wants to work directly with a founder-level data scientist on strategy and execution
- Values publicity for contributions (LinkedIn endorsement, letter of reference, and referral)
🧩 Possible Contribution Areas
- R / Python / Shiny / forecasting models (stochastic BG/BB, Gamma-Gamma and other models)
- Data pipeline / ETL / automation (n8n, APIs, Python scripts)
- Marketing + product automation (Notion, Slack, CRM workflows)
- AI/LLM copilots for business users
🤝 What You Gain
- LinkedIn endorsement + letter of reference
- Real product portfolio experience
- Priority consideration for future advisory or paid roles when SCAP scales
📌 Commitment
- Approx. 4–8 hours/week (flexible)
- Remote asynchronous collaboration
- No fixed schedule — thoughtful and sustainable pace
📩 Ready to Apply?
Send a brief email to vmelnich@gmail.com including:
- Your background (1–3 sentences)
- What you’re interested in working on
- Link to LinkedIn or GitHub (optional)