Lead engagement teams in data management, governance, and analytics to deliver business value for clients.
Compensation
The base salary for this job is $179,475.00 per year.
Responsibilities
Demonstrate in-depth data management and governance knowledge
Design methodology and execute activities to identify business needs
Utilize data strategy and governance to highlight client challenges
Gather AI Ready Data and leverage for client goals
Analyze data using Enterprise Intelligence
Requirements
Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Master’s degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
Responsibilities
Analyze diverse and complex data sources to identify spatial, temporal, behavioral, and other patterns, relationships, trends, anomalies, and indicators of criminal or nefarious activity.
Transform, develop, and analyze raw and structured data to generate timely and actionable findings for operational missions.
Apply analytical methodologies, investigative techniques, and specialized tools to identify previously unknown actors, activities, relationships, and patterns in support of threat identification, interdiction, force protection, criminal investigations, and prosecution.
The Pattern Analyst provides specialized analytical services to government customers for defense and intelligence missions using pattern analysis and device geolocation techniques.
Locations (3)
Washington, DC, United States
Northern Virginia, United States
Maryland, United States
Compensation
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations.
Responsibilities
Analyze diverse and complex data sources to identify spatial, temporal, behavioral, and other patterns, relationships, trends, anomalies, and indicators of criminal or nefarious activity.
Transform, develop, and analyze raw and structured data to generate timely and actionable findings for operational missions.
Apply analytical methodologies, investigative techniques, and specialized tools to identify previously unknown actors, activities, relationships, and patterns.
Seeking a detail-oriented Transportation Emissions Analyst to lead the collection, validation, and reporting of shipment-level emissions data across all modes of transport (air, ocean, ground).
Compensation
$33.00 - $35.00/hr
Responsibilities
Lead the collection, validation, and reporting of shipment-level emissions data across all modes of transport (air, ocean, ground).
Ensure high data integrity for internal reporting and external disclosures.
Drive continuous improvement initiatives.
Support the automation and standardization of emissions data across the organization.
Collect, consolidate, and maintain shipment-level carbon emissions data from internal systems and external partners (freight forwarders, carriers).
Research, design, develop, and support software driven system level test (SLT) solutions for datacenter server processors throughout the product development life cycle.
Responsibilities
Research, design, develop, and support software driven system level test (SLT) solutions for datacenter server processors.
Develop, debug, and enhance test software, automation frameworks, data analysis pipelines, and system level characterization flows.
Research, design, develop, and improve system level test (SLT) software, test programs, and characterization flows for datacenter server processors.
Develop and extend software based characterization and screening workflows using existing SLT test content and automated test algorithms.
Analyze post-silicon characterization and manufacturing data using statistical techniques.
Requirements
Master’s degree or foreign equivalent in Computer Science
An early-career Data Scientist role focused on working with structured and unstructured datasets to discover patterns, develop predictive models, and generate data-driven insights.
Locations (2)
United States
Canada
Responsibilities
Collect, clean, process, and analyze large datasets from multiple sources to identify patterns, trends, and meaningful insights.
Perform exploratory data analysis (EDA) to understand data distributions, relationships, and potential business opportunities.
Develop, train, test, and evaluate machine learning models to solve analytical and predictive problems.
Apply statistical techniques and mathematical methods to interpret data and support evidence-based decisions.
Write efficient code using Python and relevant data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
Support DCDC by promoting adoption, effective utilization, and continuous improvement of data analytics and visualization platforms across the DASC.
Compensation
$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Serve as the designated SME and internal advocate for DASC-supported analytics platforms
Design and deliver training programs, workshops, and knowledge-sharing sessions
Monitor analytics tool adoption and usage trends
Serve as the primary liaison between data consumers and the Data Team and Support Team
Develop and deliver tailored analytical products using charts, maps, timelines, visualizations, infographics, written assessments, and briefings to support operational decision-making.
Work directly with operational customers and government leadership to understand mission requirements, refine analytical approaches, communicate findings, and provide analytic reach-back support.
Requirements
Bachelor’s degree in a relevant discipline such as data science, criminal justice, intelligence analysis, geography, computer science, or a related field, or equivalent relevant experience.
Nice to have: Master’s degree
Nice to have: experience in law enforcement, military, or federal government
Develop and deliver tailored analytical products using charts, maps, timelines, visualizations, infographics, written assessments, and briefings.
Work directly with operational customers and government leadership to understand mission requirements, refine analytical approaches, communicate findings, and provide analytic reach-back support.
Requirements
Bachelor’s degree in a relevant discipline such as data science, criminal justice, intelligence analysis, geography, computer science, or a related field, or equivalent relevant experience
Nice to have: Master’s degree
Nice to have: Documented experience working within operational, analytical, or intelligence teams
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