Job Title: Data Scientist (Equity-Based)
Location: Remote
Type: Equity-Only | Founding Team Role
About Kefilo
Kefilo is building a
next-generation food and nutrition ecosystem integrating:
- Nutrition intelligence systems
- Smart kiosks & automated distribution
- Production infrastructure & dark factories
- Farm-to-consumer supply chains
- Home-cook & grocery ecosystems
Our goal is to build a
system-driven food company powered by data, automation, and innovation.
Role Overview
We are looking for a
Data Scientist who can help build the
data backbone of Kefilo, turning operational and user data into
insights, intelligence, and decision systems.
This Role Will Directly Influence
Product decisions
Demand forecasting
Nutrition intelligence
Operational efficiency
Key Responsibilities1. Data Infrastructure & Data Systems- Design and manage:
- Data collection frameworks
- Data pipelines across different systems
- Integrate data from:
- Kiosks
- Orders & subscriptions
- Supply chain
- Operations
- Demand Forecasting & Business Intelligence
- Build models to:
- Predict demand for meals/products
- Optimize supply planning
- Analyze:
- Sales trends
- Customer behavior
- Support data-driven decision making
- Nutrition Intelligence & Personalization
- Work on:
- Nutrition-based data models
- Meal recommendations (future systems)
- Analyze patterns related to:
- Preferences
- Health goals
- Consumption behavior
- Operational Optimization
- Use data to improve:
- Kitchen efficiency
- Inventory management
- Delivery systems
- Identify:
- Bottlenecks
- Cost optimization opportunities
- Experimentation & Growth Insights
- Support:
- Marketing experiments
- Pricing optimization
- Product testing
- Design frameworks to measure:
- Campaign performance
- Product success
- Predictive Systems & Future AI Integration
- Help build foundation for:
- Smart food systems
- Automated decision-making tools
- Contribute to:
- AI-enabled operations and insights
Requirements- Background in:
- Data science / analytics / statistics / computer science
- Strong skills in:
- Python / SQL / data analysis
- Understanding of:
- Machine learning basics
- Data modeling
- Business analytics
- Ability to:
- Translate data into actionable insights
Bonus (Good to Have)- Experience with:
- Demand forecasting models
- Consumer behavior analysis
- Food, supply chain, or operations data
- Exposure to:
- Startup / 01 environments
What You'll Get- Equity ownership based on contribution
- Opportunity to grow into:
- Direct exposure to:
- Building a data-driven company from scratch
- Working across product, operations, and strategy
Who Should Apply- People who believe:
- Data should drive decisions, not just reports
- Those who enjoy:
- Solving real operational problems using data
- Individuals ready for:
- high ownership and fast execution
Important Note
- This is an equity-only role (no fixed salary initially)
- Compensation begins post traction / revenue / funding
- Expect hands-on work in building systems from the ground up
Skills: intelligence,data,operations
