Staff Data Science Engineer
Role details
Job location
Tech stack
Job description
Decarbonizing the grid is a data problem. At Resurety, we are building the financial and technical infrastructure required to transition the world to carbon-free energy. We don't just track the market, we provide the certainty needed to fund the future of the planet., This is a senior individual contributor role focused on technical strategy, system design, and cross-functional influence, not people management. You will be the primary technical partner to our Research and Power Markets teams, ensuring that our most ambitious analytical ideas are built on a foundation of rigorous, performant, and maintainable software.
As a Staff Engineer at Resurety, you will be a technical leader responsible for the architecture, maintenance, and rigorous validation of the models and tools that power, * Architect & Own the Lifecycle *
- Lead the end-to-end design of our modeling infrastructure from Snowflake/Postgres schema design to production deployment ensuring our systems are modular, scalable, and resilient.
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Operationalize Complex Research
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Serve as the primary bridge between exploratory research and production-grade software. You will transform sophisticated time-series forecasts (energy prices, emissions, load) into robust, automated modeling workflows.
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Set the Engineering Standard
- Establish the "Gold Standard" for technical excellence. You will define and advocate for best practices in automated testing, data validation frameworks, and CI/CD patterns across the organization.
- Drive Technical Strategy & Insight
- Conduct deep-dive analyses into complex meteorological and power market datasets to surface architectural improvements and modeling breakthroughs that directly impact our customers.
- Multiply Team Impact
- Act as a high-leverage technical authority and mentor. You will guide senior engineers through complex system-level tradeoffs and influence our long-term technical roadmap without the overhead of people management.
Requirements
Do you have experience in Systems engineering?, Do you have a Master's degree?, * Bachelor's or Master's degree in a technical field; PhD-level research is valued but must be paired with significant industry experience.
- 8+ years of professional experience building, deploying, and maintaining data-intensive software systems in commercial production environments.
- Expert-level proficiency in Python (Pandas/NumPy) and SQL, with an emphasis on writing maintainable, production-ready code
- Significant experience with time-series modeling, forecasting, machine learning, and statistical techniques in applied settings (e.g., Statsmodels, Scikit-learn, TensorFlow, or PyTorch).
- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including containerized workloads (Docker/ECS) and Infrastructure-as-Code (e.g., Terraform).
- Proven ability to lead technical initiatives across teams, making architectural decisions that balance correctness, performance, and maintainability., * Domain expertise in clean energy, power markets, or energy analytics.
- Experience in finance, offtake structures, or hedging is a strong plus.
- Experience building or supporting power flow or least-cost optimization models.
- Prior experience operating at a staff or principal level, leading cross-functional technical strategy and initiatives.