🛠 Tech Stack

💼 About This Role

You'll build statistical and machine learning models to predict hardware failures for a mission-driven agtech startup. Your work will directly help farmers run more sustainable operations.

🎯 What You'll Do

• Build statistical and ML models to forecast hardware failures
• Analyze hardware performance trends across collars, towers, batteries
• Create dashboards and tools for fleet operations team
• Run statistical tests to validate hypotheses on hardware changes

📋 Requirements

• Degree in Data Science, CS, or related field
• Strong Python skills
• Experience with SQL
• Knowledge of statistical modelling and hypothesis testing

✨ Nice to Have

• Basic understanding of machine learning concepts
• Data visualisation and communication skills

🎁 Benefits & Perks

• 💼 Autonomy and mastery in role
• 📚 $1,000 personal growth fund
• 🌱 Meaningful work transforming agriculture
• 👥 Diverse and inclusive team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interview· 2 hours