Data Science Engineer

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.

• 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.

• 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/Num Py) and SQL.
• Significant experience with time‑series modeling, forecasting, machine learning, and statistical techniques in applied settings (e.g., Stats models, Scikit‑learn, Tensor Flow, 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.

• 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.

• The base compensation range for this position is $150,000 to $180,000. 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 on our…