Senior Data Scientist

Midcontinent Independent System Operator (MISO)•Carmel, IN
•$116,000 - $141,000•Onsite

About The Position

As MISO's Senior Data Scientist on the Emerging Technology team, you will bring deep data science expertise to rapid prototyping and technology experimentation. You will build models end to end, from exploring and understanding complex operational and market data through feature engineering, model development, and evaluation, to creating working prototypes and products to help MISO identify future investment opportunities. In this role, you will lead data science efforts on high-priority initiatives such as anomaly detection for market quality, partner closely with AI Engineers and Developers to combine machine learning and generative AI approaches, and coach junior team members in sound data science practices. MISO manages the electricity grid and energy market in the Central U.S. and uses research and advanced technology to help ensure reliable power flows to 45 million Americans.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Mathematics, Statistics, Economics, Business Administration, or a related field.
  • 5+ years of experience building and deploying machine learning models in a professional environment.
  • Technical skills with Python, SQL, Azure Machine Learning, Azure Foundry/OpenAI, Databricks, GitHub, Power BI, or related technologies.
  • Experience with anomaly detection, forecasting, predictive modeling, and advanced analytics.
  • Curiosity to explore emerging AI technologies and ability to translate business needs into data-driven solutions and rapid prototypes for stakeholders.

Nice To Haves

  • An advanced degree is preferred.

Responsibilities

  • Build and evaluate machine learning models, prototypes, and proofs of concept to solve complex business challenges.
  • Apply advanced analytics, statistical techniques, and feature engineering to uncover insights from operational and market data.
  • Lead data science efforts on high-priority initiatives, including anomaly detection, forecasting, and predictive modeling.
  • Partner with business stakeholders and AI Engineers to develop innovative solutions using machine learning and generative AI.
  • Assess model performance, communicate findings, and translate results into actionable business recommendations.
  • Explore emerging data science and AI technologies while mentoring team members on best practices.
  • Build models end to end, including data exploration, feature engineering, model development, and evaluation, and create working prototypes and products.

Benefits

  • 401k
  • Vacation, sick and safe time available on the first day of employment.
  • Eligible for an annual bonus if individual performance and company objectives are met.
  • Comprehensive benefits package.
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