Hybrid Data Scientist

at Analytica

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, Spark, SQL, Tableau
• Location requirements: Hybrid, Camp Springs, United States

About the role

• Data Scientist leading predictive modeling and analytics for U.S. Citizenship and Immigration Services. Working with complex datasets in SQL and Python for impactful insights and operational decisions.

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

Benefits

• competitive compensation with opportunities for bonuses
• employer-paid health care
• training and development funds
• 401k match