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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** MISO TECHNOLOGIES, INC. - **Location:** Carmel, IN, United States - **Experience:** Expert - **Salary:** $119,000.0 - $144,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cluster Analysis, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Digital Technology, EViews, R (Programming Language), Python (Programming Language), Natural Language Processing, NoSQL, NumPy, Power BI, Tensorflow, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Google Cloud, Pytorch, Large Language Models, Deep Learning, Git, Scikit Learn, Vba Programming Language, Plotly, Data Management, Streamlit Framework, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18103937?backUrl=%2Fcareer%2F18103937%2FSenior-Data-Scientist-Indiana-Carmel ## About the Role * A Bachelor's degree in Data Science, Economics, Operations Research, or a related field; a Master's degree is preferred. * At least eight (8) years of relevant experience working with data science, advanced analytics, economic analysis, or related disciplines. * Strong programming and analytical experience using tools such as Python, R, SAS, EViews, or VBA. * Experience developing machine learning and AI-driven predictive analytics, which may include regression and forecasting, classification and clustering, time-series forecasting, deep learning, natural language processing, and large language models. * Experience with common data science and machine learning frameworks such as NumPy, TensorFlow, PyTorch, and Scikit-learn. * Experience creating dashboards and data visualization solutions using tools such as Power BI, Tableau, Plotly, or Streamlit. * Experience working with cloud platforms and modern software engineering practices, including Azure, AWS, GCP, and Git. * Strong knowledge of data management and data engineering, including SQL, NoSQL, ETL processes, and data warehousing. Even better if you have experience with energy market forecasting and analysis, power system operations, statistical or econometric analysis, electricity market design, or related software development. Previous experience with a Regional Transmission Organization (RTO), Independent System Operator (ISO), utility, or other energy market participant would be especially valuable. If you enjoy using data science to solve complex, real-world problems - and want your work to help shape the reliability and efficiency of the electric grid - we would love to hear from you!, Bachelors of Economics (required) Bachelors of Data Science (required) Experience Strong knowledge of data management and data engineering, including SQL, NoSQL, ETL processes, and data warehousing. (required) Experience working with cloud platforms and modern software engineering practices, including Azure, AWS, GCP, and Git. (required) Experience creating dashboards and data visualization solutions using tools such as Power BI, Tableau, Plotly, or Streamlit. (required) Experience with common data science and machine learning frameworks such as NumPy, TensorFlow, PyTorch, and Scikit-learn. (required) Experience developing machine learning and AI-driven predictive analytics, which may include regression and forecasting, classification and clustering, time-series forecasting, deep learning, natural language processing, and large language models. (required) Strong programming and analytical experience using tools such as Python, R, SAS, EViews, or VBA. (required) 8 years: Relevant experience working with data science, advanced analytics, economic analysis, or related disciplines. (required) Equal Opportunity Employer ## Description You will work with large and complex datasets to identify trends and anomalies, investigate market and operational outcomes, and develop forward-looking analytics that help MISO better understand what is happening in the market - and what may happen next. You will also partner closely with MISO's Digital Technology team to move analytics from an idea to a scalable solution, building pipelines, dashboards, alerts, and predictive tools that support better and faster decision-making. In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if you: * Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market operations, participant activity, pricing, supply and demand, market anomalies, and market design. * Develop forward-looking and predictive analytics that help identify emerging market trends, behaviors, and potential issues. * Build automated alerts, dashboards, and analytical tools that flag unusual market outcomes and make complex information easier to understand and act upon. * Lead end-to-end data science projects - from defining the problem and project scope through development, implementation, and delivery. * Investigate specific market outcomes and operational events using data queries, MISO systems, and simulation tools to identify root causes and evaluate potential scenarios. * You contribute to team goals, create useful insights, ask relevant questions, and help identify opportunities to improve market performance ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Vectorize all the things! 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