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Energy and Water Statistician
Concurrent Technologies CorporationStatistician developing statistical models for assessing water and energy risks in data center siting. Collaborating with government stakeholders for infrastructure resilience and security.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in statistical analysis and predictive modeling, with a strong ability to translate complex data into actionable insights. Proficient in statistical programming and familiar with infrastructure risk assessment and resilience engineering.
Highest-signal resume keywords
Statistical AnalysisPredictive ModelingStatistical Programming (R, Python, SAS)Data Visualization ToolsInfrastructure Risk Assessment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisPredictive ModelingHypothesis TestingData TransformationQuantitative Research
Soft Skills
Strong Documentation SkillsCommunication Skills
Tools & Technologies
RPythonSASData Visualization Tools
Certifications & Qualifications
Master’s Degree or Higher in Statistics, Applied Mathematics, Data Science
Industry Keywords
Water SystemsEnergy SystemsResilience EngineeringRisk AssessmentData Center Requirements
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop and apply statistically rigorous models to assess water and energy risks, define analytical parameters, and generate defensible, data-driven insights for data center prioritization at DAF installations.
- Translate raw datasets (internal and external) into standardized, machine-readable parameters suitable for statistical modeling.
- Analyze technical utility frameworks, energy and water supply technology capabilities, and data center requirements.
- Quantify installation-specific risks and resilience metrics.
- Integrate statistical models into the project’s assessment tool.
- Collaborate with project leads, data engineers, research analysts, and government stakeholders to define model requirements, validate assumptions, and refine analytical approaches.
- Prepare technical documentation, user guidance, and verification reports for model parameters, transformation logic, and tool outputs.
Requirements
What you’ll need- Master’s degree or higher in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
- Minimum six (6) years of professional experience in statistical analysis, predictive modeling, or quantitative research
- Demonstrated experience in statistical analysis, predictive modeling, and hypothesis testing.
- Proficiency in statistical programming languages (e.g., R, Python, SAS) and data visualization tools.
- Experience translating complex quantitative results into actionable recommendations for technical and non-technical audiences.
- Familiarity with infrastructure risk assessment, water/energy systems, or resilience engineering is highly desirable.
- Strong documentation and communication skills.
- Ability to obtain and maintain a SECRET security clearance.
Benefits
Comp & perks- Competitive salary and benefits package
- Opportunity for career growth and educational opportunities
- Recognition for quality work
- Flexible work arrangements