Senior Data Scientist delivering end - to - end AI solutions at Seagate. Leading complex data science projects and partnering with research institutions for innovation.
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
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