Unknown Company

Data Scientist

bethesda, md • Posted 4 days ago
Onsite Full Time IT & Technology

Responsibilities

  • Lead the development, validation, and deployment of predictive models, including time series forecasting, anomaly detection, and simulation models, to address USCIS mission and operational challenges.
  • Prepare, transform, and analyze large and complex datasets using SQL and Python in a Databricks environment.
  • Perform exploratory data analysis, feature engineering, and model optimization to ensure high-quality, repeatable, and interpretable results.
  • Design and deliver advanced dashboards and visualizations to communicate insights, forecasts, and scenarios to technical and non-technical stakeholders.
  • Apply advanced statistical and machine learning techniques to identify patterns, measure operational performance, and anticipate future trends.
  • Partner with program managers, analysts, and client stakeholders to frame research questions, design analytic studies, and present findings in a clear, actionable manner.
  • Document methodologies, ensure reproducibility of analyses, and contribute to analytic best practices across the team.
  • Mentor junior analysts and data scientists in best practices for data science, forecasting, and statistical modeling.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field (Master’s degree strongly preferred).
  • 5+ years of professional experience in data science or advanced analytics, with proven expertise in statistical modeling and forecasting.
  • Advanced proficiency in SQL and Python, with hands‑on experience building and deploying time series and forecasting models (e.g., ARIMA, SARIMAX, Prophet, machine learning‑based forecasting methods).
  • Experience with cloud‑based platforms such as Databricks, Spark, or similar distributed data environments.
  • Strong data visualization skills with Tableau, Power BI, or equivalent.
  • Demonstrated ability to clean, manage, and optimize large, complex datasets.
  • Strong communication skills with the ability to present technical findings to non‑technical stakeholders.
  • Must be a U.S. Citizen and able to obtain and maintain a Public Trust clearance.

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