Data Scientist

Analytica•Bethesda, MD

12d

About The Position

We are seeking an experienced Data Scientist to join our team supporting U.S. Citizenship and Immigration Services operations. In this role, you will lead the design, development, and implementation of advanced predictive and time series forecasting models to inform operational decision-making. You will work with large-scale structured and unstructured datasets in SQL, Python, and Databricks, and deliver impactful insights through advanced analytics and compelling visualizations in Tableau or Power BI. The ideal candidate is proactive, innovative, and thrives in complex analytical environments. You bring deep expertise in forecasting, applied statistics, and machine learning, with the ability to translate technical findings into actionable recommendations for leadership. Analytica has been recognized by Inc. Magazine for 3 consecutive years as one of the 250 fastest growing businesses. We offer competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and a 401k match.

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.

Nice To Haves

Graduate degree in Data Science, Statistics, or related field.
Experience applying forecasting and predictive analytics in federal government or immigration-related domains.
Familiarity with operational research methods, simulation modeling, or optimization.
Prior experience supporting USCIS or other DHS agencies.

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.