Position OverviewDecarbonizing 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.
We are looking for a Staff Data Science Engineer to be the architect of that certainty. You will move our sophisticated research out of the lab and into the production-grade modeling infrastructure that powers our core business. As a high-leverage technical leader, you will bridge the gap between complex power market research and scalable engineering reality.
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
Key Responsibilities- 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.
- Operationalize Complex Research
- 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.
- 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.
Required Experience & Qualifications - 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.
Preferred Qualifications- 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.
Compensation, Benefits & Location- The base compensation range for this position is $156,400 - $170,000.
- Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This range does not include annual bonus, equity-based incentives, and benefits.
- Benefits information can be found at - https://resurety.com/about/careers/
- Boston Office Location - 40 Water Street, 9th Floor, Boston, Massachusetts
