🛠 Tech Stack

💼 About This Role

You'll design and scale algorithms for forecasting, pricing, and optimization at a SaaS company powering energy retailers. Your work will transform complex energy data into actionable insights, helping drive the transition to net-zero emissions.

🎯 What You'll Do

• Design and implement algorithms for forecasting, pricing, and optimization.
• Lead technical design discussions for high-volume data processing.
• Translate business requirements into performant data solutions.
• Improve robustness, performance, and scalability of existing models.

📋 Requirements

• Proven experience with algorithms or data models in production.
• Strong proficiency in Python and modern data engineering stack.
• Experience with microservice architectures and distributed systems.
• Experience with large-scale or high-frequency datasets like smart meter data.

✨ Nice to Have

• Familiarity with SaaS or software product environments.
• Experience in the energy sector or strong motivation to learn.

🎁 Benefits & Perks

• 🏖️ Flexible work options - office, remote, or mix.
• 💼 Clear remuneration approach based on experience and location.
• 🏥 Generous PTO and health insurance coverage.
• 📈 Career growth opportunities in a fast-growing company.
• ✈️ International travel for company-wide gatherings.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical assessment· 60 min
3. 3Final interview with team· 60 min