Data Scientist

About the Organization:

Step into a career with one of the nation’s leading energy distributors; a major S&P 500 company dedicated to innovation, sustainability, and modernizing the future of energy. Powering over 3 million customers across more than 1,400 communities in eight states, the organization delivers safe, reliable, and efficient energy to homes, businesses, and industries—shaping the way the world connects and thrives. 

Role Overview: 

As a Data Scientist, you'll be at the heart of the company’s mission to modernize natural gas infrastructure, optimize operations, and shape a smarter, more connected energy future. Join a team where your work will directly impact millions and your ideas are not only welcomed—but truly essential.

This role offers the unique opportunity to apply advanced machine learning and statistical modeling techniques to support critical initiatives such as demand forecasting, infrastructure planning, and system reliability. You’ll be part of a stable, well-established team that continues to drive innovation with real-world impact. From improving predictive accuracy and optimizing operational performance to visualizing key business metrics and influencing strategic decisions, this is a unique opportunity to grow your career in an environment that values technical excellence, continuous improvement, and great team culture.

What Your Day Will Look Like:

• Apply and refine existing machine learning models to support daily operations, capacity planning, demand forecasting, and long-term infrastructure strategies.
• Design and deploy predictive analytics solutions using statistical methods and machine learning algorithms to solve complex operational and business problems.
• Continuously evaluate and improve models by identifying enhancement opportunities in methodology, performance, and scalability.
• Conduct outcome reconciliation to compare predicted and actual performance, uncover trends, and recommend data-driven improvements.
• Identify and integrate new data sources to improve model accuracy and support proactive maintenance, safety monitoring, and energy usage forecasting.
• Assess the quality of new data-gathering techniques and apply advanced analytics to reveal system patterns, dependencies, and risks.
• Support data integrity and normalization initiatives across multiple platforms, ensuring accuracy and consistency in mission-critical data sets.
• Perform root cause analysis on operational challenges, propose evidence-based solutions, and implement strategies that improve system reliability and cost efficiency.
• Develop and maintain interactive dashboards and reports using Tableau or similar tools to track KPIs such as energy consumption, outage trends, and pipeline performance.
• Collaborate with external consultants on model development and evaluation, and offer expert feedback on improvement recommendations.
• Lead investigations of system anomalies and critical findings, recommending workflow or forecast modifications to optimize performance.
• Translate technical insights into actionable strategies, helping departments across the organization make informed decisions based on robust analytics.
• Stay up-to-date with emerging technologies in data science, utility analytics, and energy forecasting to keep our systems innovative and resilient.

What We'll Need to See:

Educational/Experience Level:

• Bachelor's degree in MIS / Data Analytics, mathematics, engineering, statistics, or a related field and three (3) years of relevant experience. Strong mathematical background with the ability to perform analysis involving statistical methods and regression analysis. Master’s degree preferred. 

Technical Skills: 

• Knowledge and/or working experience with regression analysis, predictive analytics, forecasting and machine learning algorithms
• Hands on technical experience using Python, Jupyter Notebook, R, advanced SQL queries, Snowflake, VBA, and/or other similar programming languages for data analysis or machine learning purposes
• Knowledge of business intelligence tools including Tableau, Alteryx, Azure Machine Learning, and/or PowerApps.
• Basic understanding of economics, finance and/or energy market topics
• Requires the ability to perform mathematical analyses involving ratios, percentages and simple statistical methods
• Background in the natural gas industry preferred
• Requires working knowledge of various software applications to create and maintain documents, reports, spreadsheets, and/or graphics

Compensation Information:

• Base Salary: $105,000 up to $120,000 depending on experience
• Annual Bonus: 10%