Statistician
McLean, VA
Part Time
Experienced
Job Title: Statistician
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
We are seeking a highly skilled Statistician to support the National Flood Insurance Program (NFIP) in evaluating the potential causal relationships between NFIP policies, practices, and impacts on endangered species and their habitats. The Statistician will apply advanced quantitative methods to determine whether NFIP actions contribute to measurable ecological outcomes, supporting compliance with federal environmental requirements and informing evidence-based program decisions.
Key Responsibilities:
Required Qualifications:
What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
We are seeking a highly skilled Statistician to support the National Flood Insurance Program (NFIP) in evaluating the potential causal relationships between NFIP policies, practices, and impacts on endangered species and their habitats. The Statistician will apply advanced quantitative methods to determine whether NFIP actions contribute to measurable ecological outcomes, supporting compliance with federal environmental requirements and informing evidence-based program decisions.
Key Responsibilities:
- Develop and execute robust statistical methodologies to assess potential causal relationships between NFIP activities (e.g., floodplain development, mitigation measures, mapping) and impacts on endangered species and their habitats.
- Utilize methods such as regression modeling, propensity score matching, and other causal inference frameworks to evaluate program effects and ecological outcomes.
- Employ statistical and machine learning techniques to process and interpret large datasets, identifying patterns and relationships relevant to NFIP’s environmental impact.
- Provide expert guidance to internal teams and clients on best-fit statistical approaches for evaluating program effectiveness and compliance with federal environmental requirements.
- Translate complex statistical findings into clear, actionable insights for non-technical audiences, including policymakers and program managers. Prepare written reports and visualizations to support decision-making.
- Critically assess statistical models and outputs, offering recommendations for refinement or alternative approaches to improve analytical rigor and relevance.
- Conduct analyses using tools such as R, Python, SAS, or equivalent platforms. Integrate GIS and spatial statistics where applicable to enhance ecological assessments.
- Contribute to NFIP’s efforts to meet federal environmental standards by providing data-driven evidence of program impacts on endangered species and their habitats.
Required Qualifications:
- Ability to design and implement statistical studies to assess potential causation between NFIP activities (e.g., floodplain development, mitigation measures, mapping) and impacts on endangered species.
- Ability to develop and apply causal inference techniques (e.g., regression modeling, etc.) to evaluate program effects.
- Strong background in causal inference, experimental design, and advanced statistical modeling.
- Knowledge of statistical analysis or machine learning techniques and how to apply them to large datasets
- Particular emphasis on casual inference techniques and application of these techniques to analyze large datasets and identify potential relationships
- Experience advising clients and internal teams on best-fit approaches for quantitative analysis
- Ability to clearly convey complex data insights to non-technical stakeholders and provide writing samples
- Ability to critically evaluate statistical approaches and outputs, and make recommendations based on those evaluations
- Proficiency in R, Python, SAS, or other advanced statistical software.
- Familiarity with GIS and spatial statistics a plus.
- Level of Effort: 50% for 60 days beginning September 8, 2025 (approximately 20 hours per week)
What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
- You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
- Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
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