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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Science Engineer - **Company:** REsurety - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $156,400.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Systems Engineering, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Data Validation, Python (Programming Language), PostgreSQL, Machine Learning, NumPy, Software Maintenance, Tensorflow, Software Deployment, Software Systems, SQL Databases, User-Centered Design, Pytorch, Snowflake, Pandas, Containerization, Scikit Learn, Production Code, Terraform, Docker - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3d90660dd87a70fe ## About the Role 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. ## 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. * 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. ## Related Videos - [Vectorize all the things! 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