Data Scientist

Analytica

Data Scientist developing advanced predictive models for USCIS operations. Analyzing large datasets and delivering insights through visualizations and statistical techniques.

Posted 6/2/2026full-timeBethesda • Maryland • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudPythonSparkSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

employer-paid health care
training and development funds
401k match

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive modelingtime series forecastinganomaly detectionsimulation modelsSQLPythonfeature engineeringmodel optimizationstatistical modelingmachine learning

Soft Skills

communicationmentoringcollaborationanalytical thinkingproblem-solving