Related skills
sql python pandas pyspark numpy📋 Description
- Design, optimise, and scale forecasting, pricing, and optimisation algorithms for multi-market data.
- Lead technical design discussions for high-volume data processing and modelling.
- Translate business and energy-market needs into performant data solutions.
- Improve robustness and performance of models; drive scalability across Gorilla.
- Mentor peers through code reviews and knowledge sharing.
- Collaborate with Product, Data, and Delivery to ensure production reliability.
🎯 Requirements
- Proven experience designing, developing, and deploying algorithms or data models in production.
- Strong Python and modern data stack experience (SQL, Pandas, NumPy, SciPy, PySpark).
- Experience building microservice architectures and distributed systems.
- Experience with large-scale or high-frequency data (smart meters, weather, IoT).
- Familiarity with SaaS or software products; energy domain is a plus.
- Collaborative mindset with strong communication and mentoring skills.
🎁 Benefits
- Remote First role with offices or home; flexible hours.
- Purpose-driven work delivering data services to energy retailers.
- Remuneration based on experience and location.
- Generous PTO and health insurance coverage.
- Career growth and lifelong learning opportunities.
- International company gatherings and travel.
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