Data Scientist - Energy Efficiency/Demand Side Management

Qualus is a power services firm supporting utilities and other clients with energy transition, grid modernization, and sustainability solutions. The Data Scientist will evaluate and research energy efficiency and demand response programs by collecting and analyzing data, developing visualizations, optimizing data processes, and communicating findings and recommendations.

What you'll do:

• Assist with planning, designing, and implementing research and sample design projects efforts to support program evaluations
• Conduct primary and secondary data collection and statistical and econometric data analysis
• Apply statistics and econometrics to analyze and interpret data to reach meaningful conclusions and recommendations for inclusion in clearly written, concise reports
• Optimize and automate existing data-flow processes including file imports/exports and data-refresh processes
• Produce data visualizations to distill information and provide meaningful conclusions and recommendations for industry clients
• Analyze collected data using analytical software, identifying trends, summarizing program events, and identifying causal impacts
• Follows data integrity, quality standards, frameworks and templates, naming conventions, coding standards, and adheres to best data management practices
• Effectively communicate research findings, conclusions, implications, and recommendations in presentations and meetings
• Proactively check own work (data, analysis, writing) for accuracy and make corrections as needed

What they're looking for:

• Experience in statistical analysis, predictive modelling, simulation, and machine learning
• Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on R
• Experience analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis
• Visualization skills such as Tableau, Power BI, or R Shiny
• Master's degree in economics, statistics, mathematics, data science, or other quantitative science or social science
• Experience supporting research oriented data analysis
• 1-3 years of experience in data science or applied statistical analysis

Benefits:

• Medical insurance, for those who qualify.
• Dental insurance, for those who qualify.
• Vision insurance, for those who qualify.
• Life insurance, for those who qualify.
• Short- and long-term disability, for those who qualify.
• 401(k) match, for those who qualify.
• Flexible Spending Accounts, for those who qualify.
• Employee Assistance Program (EAP), for those who qualify.
• Parental leave, for those who qualify.
• Paid time off, for those who qualify.