Jobs and Careers

Staff Data Science Engineer

United Statesfull_timeVerifiedPosted 21 Feb 2026

💰 $180,000/yr($150,000/yr – $180,000/yr)

About the role

Position Overview

As a Staff Data Science Engineer at REsurety, you’ll be a technical leader responsible for the architecture, maintenance, and rigorous validation of the models and tools that power REsurety’s core business. At the Staff level, you are an expert practitioner and a strategic thinker. You will lead the development of sophisticated software that characterizes risk and accelerates the global development of clean energy, serving as a bridge between research, power markets, and production-grade engineering.

This is a senior individual contributor role focused on technical leadership, system design, and cross-functional influence, not people management.

Key Responsibilities

Technical & Architectural Leadership
- Own the end-to-end design and implementation of large-scale data and modeling applications, from ingestion and storage through modeling, validation, and production deployment.
- Design systems that are modular, testable, and performant at scale, setting standards for code quality, security, and reliability across the organization.
- Lead schema and data-model design in Snowflake and Postgres to support massive, evolving meteorological and power market datasets.
- Establish and advocate for best practices in automated testing (unit, integration, data validation) for analytical and modeling workflows.
- Advanced Time-Series Modeling & Research
Drive the development and evolution of time-series forecasting models in Python for energy prices, emissions, and load.
- Lead the evaluation, validation, and integration of new and complex data sources into production modeling systems.
- Partner with research, power markets, product, and engineering to translate exploratory analyses into robust, production-ready systems.
- Conduct deep-dive analyses into complex datasets (e.g., transmission constraints, solar irradiance, weather-driven dynamics) to surface market insights and modeling improvements.
Technical Mentorship & Influence
- Provide technical mentorship and design guidance to senior and mid-level engineers, raising the overall quality bar without direct people management.
- Act as a Subject Matter Expert (SME) for clean energy project characterization and power market dynamics.
- Act as a go-to technical authority for modeling architecture, data quality, and system-level tradeoffs.
- Clearly communicate complex technical concepts, assumptions, and validation results to internal stakeholders and external customers.

Required Experience & Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
10+ years of professional experience designing and operating data-intensive software systems in production environments.
Expert-level proficiency in Python (including Pandas/NumPy) and SQL.
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.

Details

Location: Boston, MA
Our organization works on a hybrid model. We are in the office on Mondays, Tuesdays, and Thursdays at our downtown Boston building, and remote work is optional on Wednesdays and Fridays.