Senior Data Scientist — Market Analytics & Forecasting

MISO; Eagan (MN); On-site; USD 119,000 - 144,000; Full time

Job summary

MISO is seeking a Senior Data Scientist – Market Evaluation to advance statistical and economic analyses of market operations, pricing, demand, and design. You will develop predictive analytics, build dashboards, and lead full project lifecycles to identify emerging market trends and potential issues.

Ideal candidates have 8+ years of experience in data science or economics, strong Python/R/SAS skills, and expertise in ML frameworks and visualization tools.

Qualifications

• Two Bachelor's degrees: Economics and Data Science (required).
• 8+ years of relevant data science, analytics, or economics experience (required).
• Strong programming skills with Python, R, SAS, EViews, or VBA.
• Experience with ML/AI predictive analytics including regression, forecasting, and time-series.
• Familiarity with ML frameworks: NumPy, TensorFlow, PyTorch, Scikit-learn.
• Experience creating dashboards with Power BI, Tableau, Plotly, or Streamlit.
• Experience with cloud platforms (Azure, AWS, GCP) and Git.
• Solid knowledge of SQL, NoSQL, ETL processes, and data warehousing.

Responsibilities

• Apply statistical, econometric, and data analysis to market operations and pricing.
• Develop forward-looking analytics to identify trends and issues.
• Build automated alerts, dashboards, and tools for clear insights.
• Lead end-to-end data science projects from scope to delivery.
• Investigate market outcomes using data queries, systems, and simulations.

Tools

Python

R

SAS

EViews

VBA

NumPy

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Plotly

Streamlit

Azure

AWS

GCP

Git

SQL

NoSQL

ETL

Data warehousing

Job description

MISO is seeking a Senior Data Scientist – Market Evaluation to advance statistical and economic analyses of market operations, pricing, demand, and design. You will develop predictive analytics, build dashboards, and lead full project lifecycles to identify emerging market trends and potential issues.

Ideal candidates have 8+ years of experience in data science or economics, strong Python/R/SAS skills, and expertise in ML frameworks and visualization tools.