Senior Data Scientist

Midcontinent Independent System Operator, Inc.; Carmel (IN); On-site; USD 116,000 - 141,000; Full time

Benefits offered by this job

401k

Vacation

Sick time

Safe time

Job summary

Midcontinent Independent System Operator, Inc. is seeking a Senior Data Scientist for the Emerging Technology team in Carmel, Indiana.

You will lead end-to-end data science work, from exploration to prototype deployment, focusing on anomaly detection, forecasting, and innovative ML approaches. The role requires 5+ years of hands-on ML experience, strong Python/SQL skills, and collaboration with AI Engineers.

Qualifications

• 5+ years of experience building and deploying machine learning models in a professional environment.
• Bachelor’s degree in a relevant field; advanced degree preferred.
• Experience with anomaly detection, forecasting, predictive modeling, and advanced analytics.

Responsibilities

• Build and evaluate machine learning models, prototypes, and proofs of concept to solve complex business challenges.
• Apply advanced analytics and feature engineering to uncover insights from data.
• Lead data science efforts on high-priority initiatives including anomaly detection, forecasting, and predictive modeling.
• Partner with stakeholders and AI Engineers to develop innovative ML/Generative AI solutions.
• Assess model performance, communicate findings, and translate results into business recommendations.
• Mentor team members on best practices in data science.

Skills

PowerBI

SQL

Python

Education

Bachelors in Economics

Bachelors in Mathematics

Bachelors in Information Technology

Bachelors in Computer Science

Bachelors in Data Analytics

Bachelors in Data Science

Job description

Description

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.

Some of the impactful contributions you’ll make as MISO’s Senior Data Scientist include:

• Building and evaluating machine learning models, prototypes, and proofs of concept to solve complex business challenges.
• Applying advanced analytics, statistical techniques, and feature engineering to uncover insights from operational and market data.
• Leading data science efforts on high-priority initiatives, including anomaly detection, forecasting, and predictive modeling.
• Partnering with business stakeholders and AI Engineers to develop innovative solutions using machine learning and generative AI.
• Assessing model performance, communicating findings, and translating results into actionable business recommendations.
• Exploring emerging data science and AI technologies while mentoring team members on best practices.

You’ll need the following skills to be successful as Senior Data Scientist :

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Mathematics, Statistics, Economics, Business Administration, or a related field; advanced degree preferred
• 5+ years of experience building and deploying machine learning models in a professional environment
• Technical skills: 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 the ability to translate business needs into data-driven solutions and rapid prototypes for stakeholders

Appropriate level will be determined based upon experience and knowledge.

Transformative innovation is happening in the electric industry, from digitalizing homes and distributed resources to renewable energy and an ever-changing grid. MISO manages the electricity superhighway in the Central U.S. and through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 45 million Americans. Operating the electricity grid, running a robust energy market, planning for a bright future – it’s what our immensely hardworking and dedicated team does every day.

The base salary compensation range being offered for this role is $116,000 - $141,000 USD annually. Base salary range for this position is included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, and qualifications/experience.

Position is also eligible for an annual bonus if individual performance and company objectives are met. At MISO we offer a comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.

#DiscoverMISO #MISOCareers #lifeatMISO #weareMISO

MISO, What We Do (https://vimeo.com/935124142/5c8d23402d)

#LI-ONSITE

#LI-KJ1

Qualifications

Skills

Preferred

• PowerBI: Intermediate
• SQL: Intermediate
• Python: Intermediate

Education

Preferred

• Bachelors or better in Economics
• Bachelors or better in Mathematics
• Bachelors or better in Information Technology
• Bachelors or better in Computer Science
• Bachelors or better in Data Analytics
• Bachelors or better in Data Science

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.

For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

Job Category: Data

Full-Time