Market Data Scientist

ISO New England•Holyoke, MA

12d•$82,000 - $113,000•Hybrid

About The Position

We seek motivated individuals to join the Market Development team. Our job is to lead projects that integrate new technologies into competitive electricity markets and help facilitate the region’s clean energy transition. We work as a team, within the department, the company, and the region, to assess, design, and implement real-world changes to improve the electric grid and electricity markets. As a Market Data Scientist, your primary responsibilities will involve transforming complex data into actionable insights. You will contribute to cross-functional projects that enhance market design, test proposed rules, and guide stakeholder discussions. Your teammates come from a variety of backgrounds - economists, engineers, data scientists, writers, business professionals and more. Collectively, we assign projects and project roles base on each person’s expertise, passions, and goals. Candidates from all backgrounds are encouraged to apply. What we offer you: Hybrid work environment (3 days/week onsite) Relocation assistanceCompetitive compensation with a base salary + performance bonus Robust benefits package, including: Enhanced 401(k) and financial planning support Tuition reimbursement and professional developmentWellness programs, including an onsite gym Free coffee at our onsite caféFlexible work hours Employee Business Networks A stable, mission-driven workplace where your impact truly matters

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Operations Research, Economics, Math, Finance, or a related technical field.
Proficiency in Python and either R or SAS.
Proficiency with SQL.
Strong understanding of core statistical concepts such as regression, probability, and hypothesis testing.

Nice To Haves

Experience working in energy, electricity markets, or large-scale policy-driven data environments.
Knowledge of GAMS or other optimization modeling tools.
Familiarity with version control (e.g., Git) and collaborative coding workflows.
Prior exposure to data visualization or dashboard tools (e.g., Plotly, Dash, R Shiny).
Experience with neural networks, deep learning frameworks, or experimentation methods.

Responsibilities

Develop and maintain statistical and machine learning models to assess market outcomes, simulate policy changes, and forecast trends.
Design ETL processes to extract and analyze very large datasets from the ISO’s operational systems using SQL, Python, SAS, or R, with efficient post-processing workflows to support high-volume reporting and strategic analysis.
Produce reports and dashboards that clearly communicate trends, anomalies, and insights to both technical and business stakeholders.
Collaborate in cross-functional project teams focused on shaping market rules, implementation strategy, and stakeholder engagement.