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Statistician / Data Scientist

BLN24

Suitland, MD

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JOB DETAILS
JOB TYPE
Full-time
LOCATION
Suitland, MD
POSTED
24 days ago
Job Title: Statistician / Data Scientist

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 / Data Scientist with experience working with large and unstructured datasets to support advanced statistical research and model development. This role will focus on predictive modeling, data imputation, model validation, and replication research, while also leading the modernization of analytical workflows through the transition from legacy SAS-based systems to Python-driven data science platforms.

Key Responsibilities
  • Lead and support the migration of legacy analytical workflows and models from SAS into cloud ready Python frameworks
  • Translate existing SAS codebases into scalable, maintainable Python pipelines and frameworks
  • Validate equivalency and performance of SAS and Python implementations
  • Develop, test, and validate statistical and predictive models using large, complex, and unstructured datasets
  • Conduct replication research to ensure robustness and reproducibility of models and findings
  • Design and implement advanced imputation strategies for missing or incomplete data
  • Build predictive models for real-world outcomes (e.g., forecasting future residence, income prediction using internal data sources)
  • Apply appropriate methods for complex survey data, including weighting, variance estimation, and uncertainty quantification
  • Collaborate with cross-functional teams to translate analytical outputs into operational and strategic insights
  • Document methodologies, pipelines, assumptions, and results for technical and non-technical audiences

Required Qualifications
  • Degree in Statistics, Data Science, Biostatistics, Economics, or a related quantitative field
  • Experience working with large unstructured datasets
  • Strong background in statistical modeling, predictive analytics, and imputation methods
  • Demonstrated experience with complex survey data and associated estimation techniques
  • Solid understanding of uncertainty quantification and variance estimation
  • Proficiency in Python for data science (e.g., pandas, NumPy, scikit-learn, PyMC, statsmodels)
  • Experience with SAS and modernizing legacy analytical systems into Python environments
  • Experience with model validation, reproducibility, and cross-platform equivalency testing

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.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 

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