Energy Analytics Scientist: Data-Driven DSM Solutions

Cadmus; Frankfort (KY); On-site; USD 90,000 - 105,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

401(k)

Paid time off

Paid holidays

Voluntary time off

Tuition reimbursement

Adoption assistance

Bonus programs

Job summary

Cadmus is seeking an analytical professional to apply advanced analytics, conduct research design, data collection, and data analysis for client engagements in the energy sector. The role involves modeling, reporting, and presenting findings to technical and non-technical audiences.

You will work with cross‑functional teams to quantify impacts of intervention strategies, support DSM topics, and help drive data‑driven decision making across utility and government clients.

Qualifications

• MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 6-8 years relevant professional experience, OR BA/BS in relevant field with 8-10 years of relevant professional experience
• Experience with data transformation and statistical software programming in R, Python, or Stata
• Demonstrated experience deploying interactive web apps and data visualizations with the use of R-Shiny (or other platforms, such as Flask, DASH, Power BI or Streamlit)
• Experience with databases and SQL
• Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis
• Excellent written and verbal communications skills
• Desire to grow professionally and take on challenging work assignments
• Proficiency in MS Office applications, including Word and Excel
• Familiarity with or work experience in the energy sector and/or utility industry
• Applied research design experience in professional setting (e.g., consulting)

Responsibilities

• Lead research design, data collection, data analysis, modeling tool development, and reporting tasks in support of client consulting engagements
• Apply statistical and econometric data analysis methods, synthesize and interpret results to assess program and policy impacts, and identify meaningful conclusions and recommendations
• Clearly and professionally communicate methods, findings, data sources, and analytical results in technical reports, presentations, dashboards, and data visualizations for a variety of technical and non-technical audiences
• Manage consulting projects, which may include:
• Working collaboratively with project team members and clients to accomplish project goals
• Providing clear and consistent communication
• Managing project budgets, invoicing, project planning, staff and resource management
• Ensuring all deliverables meet Cadmus quality standards, are error‑free, on time, and exceed client expectations
• Provide mentorship and technical support to junior staff
• Nurture and build client relationships by providing proactive, clear, and consistent communication on project activities, status, findings, challenges, or concerns
• Identify and develop business development opportunities to expand work with existing clients and advance new work by supporting or leading proposal development

Skills

Analytical skills

Critical thinking

Research

Communication

Problem solving

Education

MA/MS in Economics, Statistics, Mathematics, Data Science, or related quantitative field

BA/BS with 8–10 years of relevant experience

Tools

R

Python

Stata

SQL

R‑Shiny

Power BI

Job description

Cadmus is seeking an analytical professional to apply advanced analytics, conduct research design, data collection, and data analysis for client engagements in the energy sector. The role involves modeling, reporting, and presenting findings to technical and non-technical audiences.

You will work with cross‑functional teams to quantify impacts of intervention strategies, support DSM topics, and help drive data‑driven decision making across utility and government clients.