Amivero · 2 weeks ago
Mid-level Data Scientist
Amivero is a company that delivers digital services to elevate the federal government through a human-centered, data-driven approach. The Data Scientist will formulate and apply mathematical modeling to assist management with decision making, and will focus on providing predictive analytics and modeling to support law enforcement decision-making processes.
AnalyticsCyber SecurityInformation Technology
Responsibilities
Conduct research and prepare management, organizational and business analyses and forecasts
Your focus will be providing predictive analytics and modeling, which will include the following tasks and activities
Provide subject matter expertise and active participation in any analytics and reporting requirements meetings with client, or other stakeholders as requested by the Chief or federal staff
Identify gaps for law enforcement decision support tool development and improvement including opportunities to collect new data, improve data quality, and improve forecasting methodologies, reporting, and scenario planning capabilities
Develop, maintain, and enhance the suite of Discrete Event Simulation (DES) models to better capture all components of the Immigration Enforcement and Removal Lifecycle
Evaluate the use of current and other artificial intelligence, data visualization, modelling technology and business intelligence platform types as appropriate, including, but not limited to Python, GitHub, Qlik, Tableau, ArcGIS, Databricks, Palantir Foundry or other relevant tools
Maintain and improve law enforcement-related geospatial capabilities
Maintain and improve Logistics Optimization Decision Support tools
Streamline reporting on key performance indicators across the data and visualization enterprise promoting information sharing among field and HQ stakeholders
Promote interoperability of products with other law enforcement DES models as needed to enhance decision-making and forecasting
Support all ad-hoc activities, requests, model, and tool enhancements, prioritizing and validating requests with law enforcement stakeholders
Perform recurring model maintenance, support, and governance
Prepare models for official DHS accreditation including supporting model documentation that describes the underlying design and methodology for the model’s concept and its constituent parts, addresses the model’s requirements how the model is used to inform any decision-making processes, analysis of alternatives for methodology chosen, engagement with stakeholders, etc
Responsible for larger, more complex or technically advanced projects, and may be responsible for tasks among multiple projects
Implementing deep and/or machine learning, or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer. Data Scientist may be responsible for leading less experienced analysts
Strong communication, interpersonal, writing skills
Attention to detail and ability to meet multiple deadlines in a rapidly changing environment
Encourage and build team spirit among staff, bringing about mutual respect and cooperation
Qualification
Required
U.S. citizenship required to obtain DHS level clearance
3 or more years of relevant demonstrated experience
Requires professional services for law enforcement systems programs, analysis, and operations
Active Secret or Top Secret clearance required
Conduct research and prepare management, organizational and business analyses and forecasts
Your focus will be providing predictive analytics and modeling, which will include the following tasks and activities
Provide subject matter expertise and active participation in any analytics and reporting requirements meetings with client, or other stakeholders as requested by the Chief or federal staff
Identify gaps for law enforcement decision support tool development and improvement including opportunities to collect new data, improve data quality, and improve forecasting methodologies, reporting, and scenario planning capabilities
Develop, maintain, and enhance the suite of Discrete Event Simulation (DES) models to better capture all components of the Immigration Enforcement and Removal Lifecycle
Evaluate the use of current and other artificial intelligence, data visualization, modelling technology and business intelligence platform types as appropriate, including, but not limited to Python, GitHub, Qlik, Tableau, ArcGIS, Databricks, Palantir Foundry or other relevant tools
Maintain and improve law enforcement-related geospatial capabilities
Maintain and improve Logistics Optimization Decision Support tools
Streamline reporting on key performance indicators across the data and visualization enterprise promoting information sharing among field and HQ stakeholders
Promote interoperability of products with other law enforcement DES models as needed to enhance decision-making and forecasting
Support all ad-hoc activities, requests, model, and tool enhancements, prioritizing and validating requests with law enforcement stakeholders
Perform recurring model maintenance, support, and governance
Prepare models for official DHS accreditation including supporting model documentation that describes the underlying design and methodology for the model's concept and its constituent parts, addresses the model's requirements how the model is used to inform any decision-making processes, analysis of alternatives for methodology chosen, engagement with stakeholders, etc
Responsible for larger, more complex or technically advanced projects, and may be responsible for tasks among multiple projects
Implementing deep and/or machine learning, or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer
Strong communication, interpersonal, writing skills
Attention to detail and ability to meet multiple deadlines in a rapidly changing environment
Encourage and build team spirit among staff, bringing about mutual respect and cooperation
Preferred
Bachelor's degree preferred
Company
Amivero
Amivero offers systems modernization, data analytics, digital transformation, and cybersecurity services.
Funding
Current Stage
Growth StageRecent News
2025-12-24
Washington Technology
2025-05-17
Company data provided by crunchbase