Data Scientist

Data ScientistAVER is a fast-growing SDVOSB that has achieved significant revenue growth over the past 5 plus years, with much of our work focused on Data Analytics, Mission Support, IT Modernization, and Biometrics. AVER is seeking a Data Scientist with strong experience in advanced analytics, automation, and Artificial Intelligence/Machine Learning (AI/ML) to develop innovative solutions that enhance data-driven insights, pattern discovery, and operational efficiency. The ideal candidate will have experience evaluating, integrating, and optimizing diverse and complex data sources, including images, metadata, geospatial information, and other structured and unstructured datasets. This individual will help design and develop centralized, searchable, and secure data environments while applying AI/ML, machine learning, computer vision, pattern recognition, and predictive analytics to uncover meaningful trends and relationships within large datasets. The Data Scientist will collaborate with technical teams, data engineers, leadership, and other stakeholders to modernize data handling, automate analytical processes, improve data quality, and develop scalable analytical solutions. We are looking for someone who is highly hands-on with technologies such as Databricks, Python, AI/ML, data engineering, and advanced analytics and can translate complex data into meaningful, actionable insights. Be part of a collaborative team that values AVER's mission, focus, and culture to deliver exceptional client service with great people and transformative technology solutions to enable Government mission success.Responsibilities Include:Assess existing data sources, including digital evidence, images, spreadsheets, device metadata, location data, and other investigative information, and define requirements for a unified, searchable, and secure data environmentRecommend software tools, platforms, and architectural approaches to organize, store, integrate, and connect disparate data types to enhance analytical capabilities and pattern discoveryIdentify technical and operational requirements, evaluate available solutions, and support the development and implementation of AI/ML models that integrate seamlessly into the centralized data environmentEvaluate and recommend software solutions and API integrations that support pattern recognition, data standardization, automated ingestion, and analytical workflowsCollaborate with federal leadership and technical stakeholders to ensure the data environment meets operational, security, investigative, and forensic requirementsLeverage Databricks to develop, train, validate, and deploy machine learning modelsCollaborate with data engineering and business teams to develop scalable analytics solutions capable of supporting large and complex datasetsSupport the development of modern data pipelines and workflows that improve the accessibility, consistency, security, and usability of investigative dataAnalyze evidence images and associated metadata to identify similarities, relationships, repeated methods, and potential connections across investigative casesApply advanced analytics, machine learning, computer vision, and pattern recognition techniques to identify trends, behavioral patterns, and recurring techniques associated with criminal activityCombine device, event, location, and geospatial data to develop visual summaries, maps, hotspot analyses, and other investigative analytical productsDevelop predictive assessments that help identify emerging trends, recognize patterns, and anticipate potential future activityStandardize, clean, validate, and enrich location information associated with device collection and criminal events to ensure accuracy and consistencyDevelop automated methods to sort, label, classify, and categorize large collections of skimmer device images, enabling efficient tagging, indexing, searching, and retrievalDevelop approaches for automated image tagging, classification, metadata extraction, and pattern identificationEnsure images and associated investigative data are searchable, structured, standardized, and optimized for analytical and investigative useDevelop automated workflows that reduce manual processing and improve the speed, consistency, and accuracy of forensic data analysisEvaluate analytical and machine learning outputs for accuracy, reliability, scalability, and operational usefulnessProvide training, technical documentation, and hands-on guidance to federal personnel on newly implemented tools, analytical methodologies, AI/ML capabilities, and data workflowsProvide ongoing technical and analytical support to improve data handling, analytical rigor, and operational efficiency across customer missionCollaborate directly with investigators and forensic analysts to understand mission requirements, refine analytical tools, and ensure solutions remain aligned with operational needs.Translate complex technical and analytical concepts into clear, actionable information for technical and non-technical stakeholders.Recommend opportunities to improve existing analytical processes through automation, advanced analytics, AI/ML, and emerging technologies.Education Requirements:Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, or a related field from an accredited institutionMaster's degree preferredExperience Requirements:8+ years of experience in data science, advanced analytics, or applied machine learningDemonstrated experience designing, building, or integrating centralized data environments, data lakes, or enterprise analytical platformsStrong proficiency with Python, R, or similar programming languages used for statistical analysis, automation, data processing, and machine learning model developmentHands-on experience with Databricks for data engineering, advanced analytics, and machine learning within a cloud environmentExperience using Databricks for large-scale data processing, feature engineering, model development, training, validation, and production deploymentExperience applying machine learning, computer vision, image analysis, and/or pattern recognition techniques to real-world datasetsExperience developing, training, validating, and deploying machine learning modelsFamiliarity with geospatial analytics tools and methodologies, including ArcGIS and/or Python-based geospatial librariesExperience integrating device, event, location, image, and other heterogeneous datasets for advanced analysisExperience cleaning, standardizing, transforming, and validating large and diverse datasetsAbility to design and implement automated workflows for image tagging, classification, indexing, and metadata extractionStrong understanding of API integrations, data pipelines, ETL/ELT processes, and modern data engineering practicesExperience developing automated analytical workflows and scalable data-processing solutionsDemonstrated ability to translate complex analytical findings and technical concepts into clear, actionable insights for non-technical stakeholders and leadershipStrong analytical, problem-solving, and critical-thinking skillsStrong interpersonal communication skills with a collaborative, customer-focused mindsetDemonstrated ability to work autonomously, take ownership of complex technical challenges, and deliver solutions within a mission-driven environmentDesired Requirements:Experience supporting federal law enforcement, forensic analysis, criminal investigations, or other investigative missionsFamiliarity with digital evidence workflows, device metadata, image-based forensic analysis, and investigative dataExperience developing, deploying, or integrating AI/ML solutions within secure or restricted environments.Experience applying computer vision to image classification, similarity detection, object recognition, or related analytical use casesProficient with data visualization and geospatial visualization tools, including Power BI and ArcGIS dashboardsExperience working with cloud-based data environments and technologies, including Azure, SQL, and OracleKnowledge of secure data architecture, data governance, access controls, and data protection requirementsExperience integrating APIs, data platforms, analytical applications, and AI/ML capabilities into centralized data environmentsLocation:Washington, DCHYBRID, 2 days a week in officeSecurity Requirements:Ability to obtain and maintain the government clearance required for the position.This role supports a government agency that requires U.S. citizenship.About Us:AVER, LLC is a Data & Digital Transformation company that delivers exceptional client service with great people and transformative technology solutions to enable Government mission success. We provide customers with specialized technical skills and deep subject matter expertise focused on Homeland Security, Biometrics, Law Enforcement, and Healthcare domains to meet the complex mission challenges of today and tomorrow. We are a verified Service-Disabled Veteran-Owned Small Business (SDVOSB) that strives to provide a customer-centric experience while building trusted partnerships with our clients and people.AVER is an Equal Opportunity Employer/Veterans/Disabled