Senior Data Scientist - Market Analytics (Energy)

Midcontinent Independent System Operator (MISO); Saint Paul (MN); On-site; USD 119,000 - 144,000; Full time

Benefits offered by this job

401k

Vacation

Sick time

Paid time off

Benefits day one

Job summary

Midcontinent Independent System Operator (MISO) invites a Senior Data Scientist – Market Evaluation to transform large market data into actionable insights. You will build predictive analytics, dashboards, alerts, and end-to-end data science projects with the Digital Technology team, influencing grid reliability and market performance.

We seek a PhD/Masters background in data science or economics, 8+ years in analytics, and strong Python/R skills, ML frameworks, SQL/NoSQL, and cloud experience.

Qualifications

• Bachelor's degree in Economics or related field.
• Bachelor's degree in Data Science or related field.
• Minimum 8 years of data science/analytics experience.

Responsibilities

• Identify patterns in market operations, pricing, and anomalies.
• Develop forward-looking predictive analytics.
• Create dashboards and automated alerts.
• Lead end-to-end data science projects.
• Investigate market outcomes using data queries and simulations.
• Contribute to team goals and identify improvement opportunities.

Skills

Data analysis

Statistical analysis

Problem solving

Communication

Education

Bachelor's in Economics

Bachelor's in Data Science

Tools

Python

R

SAS

EViews

VBA

SQL

NoSQL

ETL

Data Warehousing

NumPy

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Plotly

Streamlit

Azure

AWS

GCP

Git

Job description

Midcontinent Independent System Operator (MISO) invites a Senior Data Scientist – Market Evaluation to transform large market data into actionable insights. You will build predictive analytics, dashboards, alerts, and end-to-end data science projects with the Digital Technology team, influencing grid reliability and market performance.

We seek a PhD/Masters background in data science or economics, 8+ years in analytics, and strong Python/R skills, ML frameworks, SQL/NoSQL, and cloud experience.