Careers

The Coordination / Administrative Support Specialist provides essential operational, scheduling, and documentation support to enable efficient execution of fraud analytics programs and cross-functional coordination activities. This role supports government-led initiatives by ensuring seamless communication, structured documentation, and organized tracking of activities across multiple stakeholders, including analysts, program leadership, and external partners.

The ideal candidate is highly organized, detail-oriented, and proactive, with a demonstrated ability to manage competing priorities in a fast-paced, data-driven environment. This individual is expected to anticipate administrative needs, maintain accurate records, and facilitate coordination across functional teams supporting fraud detection, analytics operations, and program oversight.

This role directly supports PWS Tasks 4.9 (JSF Coordination) and 4.11 (Coordination Support) by enabling collaboration, maintaining operational visibility, and ensuring that meetings, deliverables, and communications are executed efficiently.


Key Responsibilities / Day-to-Day Activities

  • Coordinate and schedule meetings, briefings, and working sessions across government and contractor teams
  • Prepare, format, and distribute meeting agendas, read-aheads, and supporting documentation
  • Document meeting minutes, action items, and decisions, ensuring accurate tracking and follow-up
  • Maintain centralized tracking tools for action items, deliverables, and stakeholder communications
  • Support development, organization, and maintenance of program documentation, reports, and correspondence
  • Facilitate communication between analytical teams, program leadership, and external stakeholders
  • Track task progress and assist in ensuring timely completion of deliverables
  • Organize and manage shared repositories (e.g., SharePoint, Teams) for document control and versioning
  • Assist in preparing program status reports, dashboards, and briefing materials
  • Support onboarding coordination and administrative needs for team members
  • Ensure compliance with documentation standards, records management policies, and internal procedures
  • Provide logistical support for program activities, including workshops, reviews, and coordination events

Job Features

Job CategoryAdministrative Support
MINIMUM QUALIFICATIONSBachelor’s degree in Business Administration, Communications, Public Administration, or related field | 2–4 years of experience in administrative support, program coordination, or operations support
REQUIRED SKILLSProficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
TECHNICAL SKILLSDemonstrated experience supporting federal programs or government environments preferred| Strong organizational and time management skills with attention to detail | Ability to manage multiple priorities and meet deadlines in a dynamic environment | Strong written and verbal communication skills
DESIRED QUALIFICATIONSExperience supporting data analytics, fraud detection, or financial oversight programs Familiarity with task tracking tools (e.g., Jira, Smartsheet, Trello, or similar) Experience preparing executive-level briefings and reports Knowledge of federal records management and documentation standards Ability to work independently with minimal supervision while maintaining high accuracy Strong interpersonal skills and ability to coordinate across diverse stakeholder groups
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust Clearance | U.S. Citizenship required

The Coordination / Administrative Support Specialist provides essential operational, scheduling, and documentation support to enable efficient execution of fraud analytics programs and cross-functiona...

Full-Time
Remote
Posted 4 months ago

The Program Analyst / Reporting Specialist provides critical reporting, documentation, and coordination support to government-led fraud analytics programs. This role ensures that program performance, operational metrics, and analytical outputs are accurately captured, synthesized, and communicated to support informed decision-making.

The ideal candidate is a highly organized, detail-oriented professional who thrives in a fast-paced, data-driven environment. This individual is expected to translate complex analytical outputs into clear, actionable insights, support cross-team coordination, and maintain high-quality documentation aligned with federal standards.

This role supports the government’s need for transparency, traceability, and operational visibility across fraud analytics activities, including model performance monitoring, inventory tracking, and treatment outcomes. The candidate must be proactive, self-directed, and capable of managing multiple priorities while maintaining accuracy and consistency.

Key tools and processes include reporting dashboards, data visualization platforms, Microsoft Office Suite, collaboration tools (e.g., SharePoint, Teams), and structured reporting frameworks aligned with federal program management practices.


Key Responsibilities / Day-to-Day Activities

  • Develop recurring and ad hoc reports on fraud analytics performance, inventory levels, and operational outcomes
  • Compile and synthesize data from multiple analytical teams into cohesive executive-level briefings
  • Document methodologies, reporting processes, and analytical outputs to ensure auditability and reproducibility
  • Coordinate with analysts, data scientists, and program stakeholders to gather inputs for reporting cycles
  • Track program metrics, key performance indicators (KPIs), and reporting timelines to ensure timely delivery
  • Support the preparation of executive summaries, dashboards, and briefing materials for government leadership
  • Maintain reporting repositories, templates, and documentation libraries in collaboration platforms (e.g., SharePoint)
  • Analyze trends and variances in program data to identify potential issues or areas for improvement
  • Facilitate communication across functional teams to ensure alignment on reporting requirements and outputs
  • Ensure compliance with federal reporting standards, data governance policies, and documentation requirements

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Business Administration, Public Administration, Data Analytics, or related field | 4 to 6 years of experience in program analysis, reporting, or federal program support
REQUIRED SKILLSExperience supporting federal agencies or large-scale government programs | Strong proficiency in Microsoft Excel, PowerPoint, and Word
TECHNICAL SKILLSExperience with reporting tools such as Power BI, Tableau, or similar platforms | Demonstrated ability to synthesize complex data into clear, concise reports | Strong written and verbal communication skills | Ability to manage multiple priorities and meet deadlines in a structured environment
DESIRED QUALIFICATIONSExperience supporting IRS, Treasury, or fraud analytics programs | Familiarity with data governance, audit readiness, and compliance reporting | Experience with SharePoint, Microsoft Teams, and collaboration tools | Exposure to SQL or basic data querying concepts | Experience supporting performance metrics, KPIs, and operational dashboards | Certification in Project Management (PMP), Business Analysis (CBAP), or related discipline | Experience working in Agile or hybrid project environments
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust Clearance | U.S. Citizenship required | Must be able to pass a government background investigation

The Program Analyst / Reporting Specialist provides critical reporting, documentation, and coordination support to government-led fraud analytics programs. This role ensures that program performance, ...

Full-Time
Remote
Posted 4 months ago

The Data Migration Specialist supports the transition of legacy fraud detection rules, filters, and analytical assets from legacy environments such as the Dependent Database (DDB) to modernized platforms such as the Enterprise Data Platform (EDP). This role ensures continuity of fraud detection capabilities while improving data integrity, traceability, and performance in the target environment.

The ideal candidate is detail-oriented, highly organized, and capable of executing structured migration activities with precision. They are expected to operate effectively in a fast-paced, evolving environment, proactively identify data inconsistencies, and ensure that migrated rules and datasets maintain functional equivalence and operational effectiveness.

This role supports the IRS mission to modernize fraud analytics infrastructure by translating legacy logic into scalable, maintainable, and production-ready components. The specialist works closely with data engineers, analysts, and program stakeholders to validate migration outcomes and minimize disruption to ongoing fraud detection operations.

Tools and Technologies May Include: SQL, Python, ETL tools, data validation frameworks, version control systems (Git), data profiling tools, and IRS-specific analytics environments.


Key Responsibilities / Day-to-Day Activities

  • Analyze legacy rule logic, filters, and datasets within DDB and document transformation requirements
  • Translate and map legacy business rules into EDP-compatible formats and structures
  • Execute data extraction, transformation, and loading (ETL) processes to support migration activities
  • Validate migrated data and rules to ensure accuracy, completeness, and functional equivalence
  • Perform data profiling and reconciliation to identify discrepancies and resolve data quality issues
  • Collaborate with data engineers and analysts to optimize migrated assets for performance and scalability
  • Support testing activities, including unit testing, system integration testing, and user acceptance validation
  • Document migration processes, data mappings, and validation results for auditability and knowledge transfer
  • Monitor post-migration performance and support issue resolution and tuning efforts
  • Ensure compliance with data governance, security, and IRS operational standards

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field
REQUIRED SKILLS4 to 6 years of experience in data analysis, data migration, or systems analysis | Strong proficiency in SQL and experience working with relational databases | Experience with ETL processes and data transformation techniques
TECHNICAL SKILLSDemonstrated ability to analyze and translate business rules into technical specifications | Experience performing data validation, reconciliation, and quality assurance | Familiarity with structured data environments and data lifecycle management | Strong attention to detail and ability to manage multiple priorities
DESIRED QUALIFICATIONSExperience supporting federal data environments, preferably IRS or Treasury | Familiarity with fraud analytics systems, business rules engines, or case processing environments | Experience with big data platforms or cloud-based data environments (e.g., AWS, Azure)|Proficiency in Python or similar scripting languages for data processing | Experience with data governance frameworks and metadata management | Knowledge of Agile methodologies and collaborative development environments | Relevant certifications such as Certified Data Management Professional (CDMP) or similar
SUITABILITY REQUIREMENTSAbility to obtain and maintain an IRS Minimum Background Investigation (MBI) Public Trust clearance

The Data Migration Specialist supports the transition of legacy fraud detection rules, filters, and analytical assets from legacy environments such as the Dependent Database (DDB) to modernized platfo...

Ascension LLC is seeking a highly analytical and mission-driven Rapid Response Analyst (QRT) to support government-led fraud analytics operations within a dynamic, high-visibility environment. This role is critical to identifying, analyzing, and responding to emerging fraud schemes in near real-time, ensuring timely mitigation of risks to taxpayer systems and financial integrity.

The ideal candidate is a detail-oriented and proactive problem solver who thrives in fast-paced, ambiguous environments. This individual brings strong analytical judgment, the ability to synthesize incomplete data, and the discipline to deliver actionable insights under tight timelines. The analyst will support rapid investigative analytics, evaluate anomalies in filing patterns, and contribute to the development and refinement of fraud detection strategies.

This role requires a professional who can anticipate emerging threats, construct analytical approaches quickly, and collaborate across cross-functional teams to support operational decision-making. The candidate should be comfortable working with large datasets, applying statistical and rule-based analysis, and leveraging tools such as SQL, Python, and data visualization platforms to support rapid response efforts.


Key Responsibilities / Day-to-Day Activities

  • Analyze emerging fraud patterns, anomalies, and suspicious behaviors across filing and non-filing periods
  • Conduct rapid-turnaround investigative analytics to support urgent fraud detection and mitigation efforts
  • Evaluate model outputs, filters, and business rules to identify gaps, false positives, and emerging vulnerabilities
  • Develop ad hoc queries, scripts, and analytical approaches to assess new fraud schemes
  • Collaborate with data scientists and SMEs to refine detection strategies and improve model performance
  • Monitor operational metrics, inventory levels, and fraud indicators to support real-time decision-making
  • Synthesize analytical findings into clear, actionable insights for government stakeholders
  • Support testing and validation of new rules, models, and treatments in non-production and production environments
  • Document analytical methodologies, findings, and recommendations for auditability and knowledge sharing
  • Coordinate with cross-functional teams to ensure alignment across fraud programs and response activities

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related analytical field
REQUIRED SKILLS5 to 7 years of experience in data analysis, fraud analytics, or investigative analytics | Strong proficiency in SQL for querying and manipulating large datasets | Strong analytical thinking and problem-solving skills | Ability to work independently with minimal supervision in fast-paced environments
TECHNICAL SKILLSExperience with Python or R for data analysis and rapid prototyping|Experience working with structured and unstructured data in enterprise environments | Demonstrated ability to perform exploratory data analysis and anomaly detection | Familiarity with fraud detection techniques, risk scoring, and rule-based systems | Experience with data visualization tools such as Tableau, Power BI, or similar
DESIRED QUALIFICATIONSExperience supporting IRS, Treasury, or other federal financial or fraud programs. Familiarity with identity theft, refund fraud, and financial crime schemes. Experience with machine learning model interpretation and performance monitoring. Knowledge of big data platforms such as Hadoop or Spark. Experience with Agile or rapid delivery environments. Professional certifications such as Certified Fraud Examiner (CFE), CAP, or equivalent. Strong communication skills with the ability to translate technical findings into business insights.
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust (Moderate or High Risk) clearance | U.S. Citizenship required

Ascension LLC is seeking a highly analytical and mission-driven Rapid Response Analyst (QRT) to support government-led fraud analytics operations within a dynamic, high-visibility environment. This ro...

Full-Time
Hybrid
Posted 4 months ago

The Data Analyst (Operational Monitoring) supports government-led fraud analytics operations by monitoring model performance, tracking inventory, and producing actionable insights that improve fraud detection and operational outcomes. This role is critical to ensuring continuous visibility into filing trends, fraud schemes, and treatment workflows across both filing and non-filing periods.

The ideal candidate is detail-oriented, analytical, and highly organized, with the ability to manage high-volume datasets and translate data into meaningful insights. This individual must be self-driven, comfortable working in an evolving environment, and capable of identifying anomalies, escalating risks, and supporting rapid analytical response efforts.

This role supports the customer’s need to maintain operational awareness of fraud analytics systems, ensuring models, filters, and business rules perform effectively while enabling timely decision-making. The analyst will leverage tools such as SQL, Python/R, BI platforms, and IRS-provided systems to monitor trends, generate reports, and support fraud mitigation strategies.


Key Responsibilities / Day-to-Day Activities

  • Monitor fraud detection models, filters, and business rules to assess performance and identify degradation or anomalies
  • Track inventory levels, case volumes, and workflow status across fraud programs
  • Analyze filing and non-filing patterns to detect emerging fraud schemes or irregular behaviors
  • Generate recurring and ad hoc reports to support operational visibility and leadership decision-making
  • Validate data accuracy and reconcile discrepancies across multiple data sources
  • Support production analytics by reviewing outputs and ensuring alignment with expected results
  • Assist in evaluating model outputs and flagging potential false positives or false negatives
  • Collaborate with data scientists and engineers to refine monitoring metrics and reporting logic
  • Conduct trend analysis to inform treatment strategies and fraud prevention efforts
  • Respond to emerging analytical requests and support rapid response efforts for identified vulnerabilities
  • Document processes, methodologies, and findings to support transparency and repeatability
  • Coordinate with stakeholders to ensure consistent reporting and shared understanding of metrics

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or related field
REQUIRED SKILLS2 to 4 years of experience in data analysis, reporting, or operational analytics |Proficiency in SQL for querying and manipulating large datasets |Strong written and verbal communication skills |Ability to manage multiple priorities in a fast-paced environment
TECHNICAL SKILLSExperience with data visualization tools such as Tableau, Power BI, or similar platforms | Experience producing reports and dashboards for operational or program management use | Ability to work with structured and unstructured data from multiple sources
DESIRED QUALIFICATIONSExperience supporting fraud detection, financial analytics, or compliance-related programs. Familiarity with IRS data environments or federal financial systems. Experience with Python or R for data analysis and automation. Knowledge of predictive model monitoring and performance metric Experience working in Agile or iterative delivery environments. Exposure to data governance, data quality, or data validation frameworks. Understanding of identity theft and fraud schemes in tax or financial domains. Relevant certifications such as Certified Analytics Professional (CAP), Microsoft Power BI Certification, or similar.
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust (IRS Moderate Risk) clearance. U.S. Citizenship required

The Data Analyst (Operational Monitoring) supports government-led fraud analytics operations by monitoring model performance, tracking inventory, and producing actionable insights that improve fraud d...

Full-Time
Remote
Posted 4 months ago

The Analytics Engineer / BI Analyst supports government-led fraud analytics operations by transforming complex data into actionable insights that enhance fraud detection, prevention, and operational decision-making. This role bridges data engineering, analytics, and business intelligence to deliver dashboards, reporting solutions, and analytical outputs that inform program performance and taxpayer protection strategies.

The ideal candidate is a detail-oriented and analytically driven professional who thrives in a fast-paced, ambiguous environment. They demonstrate strong problem-solving skills, the ability to translate business needs into technical solutions, and the discipline to manage multiple priorities while maintaining data accuracy and integrity.

This role supports monitoring fraud trends, evaluating model and rule performance, and delivering reporting solutions that provide visibility into inventory, case processing, and fraud schemes. The candidate will work with structured and unstructured datasets, leveraging tools such as SQL, Python, and BI platforms to support real-time and periodic reporting needs.


Key Responsibilities / Day-to-Day Activities

  • Develop and maintain dashboards and reports to support fraud analytics operations and leadership decision-making
  • Analyze large datasets to identify trends, anomalies, and emerging fraud patterns
  • Support performance monitoring of predictive models, filters, and business rules
  • Translate business requirements into data models, visualizations, and reporting solutions
  • Collaborate with data scientists and engineers to ensure accurate data pipelines and reporting outputs
  • Produce recurring and ad hoc reports on inventory levels, case status, and operational metrics
  • Validate data quality and resolve discrepancies across multiple data sources
  • Document reporting logic, data sources, and methodologies to ensure transparency and reproducibility
  • Support rapid-response analytics for emerging fraud schemes or operational issues
  • Present findings and insights to stakeholders in a clear, concise, and actionable manner

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, or related field
REQUIRED SKILLS4 to 6 years of experience in data analytics, business intelligence, or reporting roles.| Strong analytical, organizational, and problem-solving skills |Excellent written and verbal communication skills
TECHNICAL SKILLSExperience with BI tools such as Tableau, Power BI, or similar platforms Experience working with large datasets and relational databases. Knowledge of data visualization best practices and dashboard design. Ability to translate business requirements into technical solutions. Strong proficiency in SQL for data extraction and transformation.
DESIRED QUALIFICATIONSExperience supporting federal agencies, preferably IRS, Treasury, or financial oversight organizations. Familiarity with fraud analytics, risk modeling, or anomaly detection. Experience with Python or R for data analysis Exposure to data engineering concepts such as ETL pipelines and data warehousing. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of Agile methodologies and tools such as Jira or Azure DevOps. Experience working in high-volume, mission-critical operational environments.
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust clearance. Must be a U.S. Citizen or meet eligibility requirements for federal contracting

The Analytics Engineer / BI Analyst supports government-led fraud analytics operations by transforming complex data into actionable insights that enhance fraud detection, prevention, and operational d...

Full-Time
Hybrid
Posted 4 months ago

The Program Manager / Analytics Lead provides overall contract oversight and coordination for fraud analytics support services. This role is responsible for managing contractor performance across all functional task areas, ensuring alignment with government-led strategy, and delivering high-quality analytical support, reporting, and program coordination. The position serves as the primary interface with the Government, ensuring effective communication, risk management, and execution of program objectives while supporting fraud analytics operations across production and non-production environments.


Role Overview

This role combines program management discipline with an understanding of fraud analytics operations. The individual ensures that analytical activities, reporting, and coordination efforts are executed efficiently while maintaining compliance with contractual requirements. The Government retains authority over strategy and enforcement decisions, and this role focuses on execution, coordination, and performance delivery.


Day-to-Day Responsibilities

  • Serve as the primary point of contact for the Government on all contract-related matters
  • Oversee execution of all PWS task areas, including program management, transition, staffing, and reporting
  • Coordinate contractor resources supporting fraud analytics, modeling, monitoring, and reporting activities
  • Track contract performance, deliverables, and key performance indicators
  • Manage risks, issues, and dependencies, and provide mitigation strategies
  • Facilitate communication across stakeholders, including Government personnel, contractors, and partners
  • Ensure timely and accurate reporting on inventory, analytics performance, and operational outcomes
  • Support coordination of analytical efforts related to fraud schemes, filing trends, and model performance
  • Lead status meetings, program reviews, and stakeholder briefings
  • Oversee staffing, onboarding, and resource allocation to meet evolving workload demands
  • Ensure compliance with data security, privacy, and operational protocols
  • Support transition activities and continuity of operations across contract phases

Job Features

Job CategoryProject Management
MINIMUM QUALIFICATIONSBachelor’s degree in Business Administration, Data Analytics, Information Systems, Public Administration, or related field
REQUIRED SKILLSMinimum of 8 years of experience in program or project management supporting federal contracts |Strong written and verbal communication skills, including stakeholder engagement at senior levels
TECHNICAL SKILLSDemonstrated experience managing analytics, data, or fraud-related programs Strong knowledge of program management practices, including risk management and performance tracking Experience coordinating cross-functional teams in a government environment | Proficiency with reporting tools and performance tracking mechanisms
DESIRED QUALIFICATIONSMaster’s degree in a related field | PMP or equivalent certification | Experience supporting IRS, Treasury, or similar federal financial agencies | Familiarity with fraud detection, identity theft analytics, or financial risk environments | Experience supporting data science or predictive modeling teams | Knowledge of data governance and analytics lifecycle processes | Experience with tools such as Power BI, Tableau, SQL, or similar platforms
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust clearance |Successful completion of a background investigation |Compliance with all federal data security and privacy requirements

The Program Manager / Analytics Lead provides overall contract oversight and coordination for fraud analytics support services. This role is responsible for managing contractor performance across all ...

Part-Time
Washington, DC
Posted 4 months ago

The Senior Data Scientist provides advanced analytical and modeling expertise to support high-impact fraud detection, identity theft analytics, and predictive modeling efforts. This role is engaged selectively for complex modeling challenges, optimization of existing models, and rapid response to emerging fraud schemes that require deep technical expertise.

The ideal candidate is a highly analytical, detail-oriented problem solver who thrives in ambiguous, fast-moving environments. This individual brings strong expertise in machine learning, statistical modeling, and experimentation, and demonstrates the ability to translate complex data into actionable insights. The candidate must be self-directed, capable of anticipating risks and opportunities, and able to develop scalable analytical solutions with minimal oversight.

This role supports government-led fraud analytics by enhancing predictive models, improving detection accuracy, and optimizing analytical frameworks used to identify identity fraud and emerging schemes. Tools and environments may include Python, R, SQL, cloud-based analytics platforms, and large-scale data processing frameworks.


Key Responsibilities / Day-to-Day Activities

  • Develop advanced predictive models and machine learning algorithms to detect identity fraud and anomalous filing patterns
  • Optimize existing models, filters, and business rules to improve accuracy and reduce false positives
  • Analyze large, complex datasets to identify trends, patterns, and emerging fraud schemes
  • Conduct experimentation and model validation to assess performance and reliability
  • Collaborate with data engineers and analysts to integrate models into production and non-production environments
  • Evaluate internal and external data sources to enhance fraud detection capabilities
  • Perform statistical analysis to support treatment optimization and fraud classification
  • Respond rapidly to emerging fraud threats by developing and deploying analytical solutions
  • Document methodologies, assumptions, and model performance metrics for transparency and reproducibility
  • Provide technical guidance and recommendations to support government decision-making

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field |6 to 8 years of experience in data science, predictive analytics, or machine learning
REQUIRED SKILLSStrong proficiency in Python and/or R for statistical modeling and machine learning Experience with SQL and working with large structured and unstructured datasets
TECHNICAL SKILLSDemonstrated experience developing, validating, and deploying predictive models,| Knowledge of machine learning techniques such as classification, clustering, regression, and anomaly detection, | Experience with data visualization tools such as Tableau, Power BI, or similar
DESIRED QUALIFICATIONSExperience supporting federal agencies, preferably Treasury or IRS environments |Familiarity with fraud detection, identity theft analytics, or financial crime modeling | Experience with cloud platforms such as AWS, Azure, or Google Cloud |Knowledge of big data frameworks such as Spark or Hadoop |Experience with model governance, explainability, and auditability practices | Advanced degree (PhD preferred) in a quantitative discipline | Familiarity with Agile or iterative development methodologies
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust (Moderate Risk) clearance | U.S. Citizenship required

The Senior Data Scientist provides advanced analytical and modeling expertise to support high-impact fraud detection, identity theft analytics, and predictive modeling efforts. This role is engaged se...

Full-Time
Hybrid
Posted 4 months ago

Ascension LLC is seeking a Data Scientist (Primary) to support government-led fraud analytics efforts focused on detecting, preventing, and mitigating identity theft and financial fraud. This role serves as a core contributor to the development, testing, deployment, and monitoring of predictive models, fraud detection rules, and analytical frameworks across both production and non-production environments.

The ideal candidate is a technically strong, detail-oriented problem solver who thrives in fast-paced, ambiguous environments and can translate complex data into actionable insights. This individual will play a central role in identifying fraud patterns, enhancing model performance, and supporting rapid analytical response to emerging fraud schemes. The candidate should be self-driven, highly analytical, and capable of balancing multiple priorities while maintaining accuracy and accountability.

This role supports mission-critical analytics that directly impact taxpayer protection strategies and national financial integrity. The Data Scientist will work closely with cross-functional teams including engineers, analysts, and government stakeholders to continuously improve fraud detection capabilities.

Key Tools & Technologies: Python, R, SQL, SAS, machine learning frameworks, data visualization tools (e.g., Tableau, Power BI), big data platforms (e.g., Hadoop/Spark), cloud environments (AWS/Azure), version control tools.


Day-to-Day Activities

  • Develop predictive models, classification algorithms, and anomaly detection techniques to identify fraud patterns
  • Engineer and select features from structured and unstructured datasets to improve model accuracy
  • Test, validate, and tune models using statistical techniques and performance metrics
  • Monitor model performance, drift, and degradation across filing and non-filing periods
  • Analyze fraud schemes, filing behaviors, and emerging threats to inform model updates
  • Support rapid-response analytics for newly identified fraud vulnerabilities or schemes
  • Collaborate with data engineers to operationalize models in production environments
  • Evaluate internal and external data sources to enhance fraud detection capabilities
  • Generate analytical reports, dashboards, and visualizations for stakeholders
  • Document methodologies, assumptions, and model logic for transparency and auditability
  • Participate in pilot analytics initiatives and support transition to production
  • Contribute to continuous improvement of analytical frameworks, rules, and filters

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field 4–6 years of experience in data science, predictive analytics, or machine learning
REQUIRED SKILLSStrong proficiency in Python, R, or SAS for data analysis and modeling, Knowledge of statistical methods, machine learning techniques, and data mining, Ability to communicate complex analytical findings to non-technical stakeholders, Strong problem-solving, critical thinking, and analytical skills
TECHNICAL SKILLSExperience with SQL and working with large, complex datasets Demonstrated experience building and validating predictive modelsExperience with data visualization tools (e.g., Tableau, Power BI)
DESIRED QUALIFICATIONSMaster’s degree in Data Science, Statistics, Computer Science, or related field| Experience supporting fraud analytics, financial crimes, or identity theft detection programs| Familiarity with IRS or Treasury data environments and processes| Experience with big data platforms (Hadoop, Spark) and cloud environments (AWS, Azure)| Knowledge of model governance, model risk management, and compliance frameworks| Experience with real-time analytics and streaming data| Familiarity with Agile methodologies and DevOps practices| Relevant certifications (e.g., AWS Certified Data Analytics, SAS Certified Data Scientist)
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust (Moderate Risk) clearance| U.S. Citizenship required

Ascension LLC is seeking a Data Scientist (Primary) to support government-led fraud analytics efforts focused on detecting, preventing, and mitigating identity theft and financial fraud. This role ser...

12 Months+, Full-Time
Hybrid
Posted 4 months ago

Ascension LLC is seeking a Fraud Analytics Subject Matter Expert (SME) to support government-led fraud analytics initiatives focused on identifying, analyzing, and mitigating fraud risks across large-scale federal programs. This role serves as a trusted advisor providing analytical insight, model validation support, and subject matter expertise to enhance fraud detection capabilities while ensuring alignment with evolving threats and operational priorities.

The ideal candidate is a highly analytical and detail-oriented professional with deep experience in fraud schemes, predictive modeling support, and analytical evaluation. This individual thrives in a fast-paced, mission-driven environment and demonstrates the ability to interpret complex data, anticipate emerging fraud patterns, and provide actionable recommendations. The SME will not serve as a policy decision-maker but will play a critical role in advising government stakeholders and strengthening analytical approaches.

This role requires a self-driven professional who can operate with minimal oversight, manage multiple priorities, and translate complex fraud trends into meaningful insights. The candidate should be comfortable working with structured and unstructured data, collaborating across teams, and supporting rapid-response analytics in dynamic operational environments.


Key Responsibilities / Day-to-Day Activities

  • Analyze fraud schemes, patterns, and anomalies across filing and non-filing periods
  • Evaluate existing fraud detection models, filters, and business rules for effectiveness and accuracy
  • Support validation and tuning of predictive models in coordination with technical and analytics teams
  • Advise on fraud detection strategies and analytical approaches to improve program outcomes
  • Monitor fraud trends, model performance, and operational metrics to identify gaps or emerging risks
  • Conduct deep-dive analyses to support rapid response to newly identified fraud schemes or vulnerabilities
  • Collaborate with data scientists, engineers, and program stakeholders to enhance analytical capabilities
  • Review internal and external data sources to inform fraud detection and taxpayer protection strategies
  • Develop analytical summaries, reports, and visualizations to communicate findings to stakeholders
  • Support treatment optimization efforts, including differentiation between fraud types
  • Contribute to cross-program coordination and knowledge sharing efforts

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Data Science, Statistics, Economics, Computer Science, Criminal Justice, or related field | 6 to 8 years of experience in fraud analytics, risk analytics, or related analytical disciplines
REQUIRED SKILLSDemonstrated experience analyzing fraud schemes and supporting fraud detection models | Strong proficiency in data analysis tools such as Python, R, SQL, or SAS| Ability to communicate complex analytical findings clearly to both technical and non-technical audiences
TECHNICAL SKILLSExperience working with large datasets and applying analytical techniques to identify patterns and anomalies | Familiarity with predictive modeling concepts and model validation approaches |Strong critical thinking and problem-solving skills |Experience supporting federal programs or working in highly regulated environments
DESIRED QUALIFICATIONSMaster’s degree in a quantitative or analytical discipline | Experience supporting IRS, Treasury, or financial fraud programs | Knowledge of identity theft fraud, first-party fraud, and tax-related fraud schemes| Familiarity with machine learning model lifecycle and performance monitoring | Experience with data visualization tools such as Tableau or Power BI | Exposure to cloud-based analytics environments such as AWS, Azure, or Google Cloud | Professional certifications such as Certified Fraud Examiner (CFE), Certified Analytics Professional (CAP), or similar | Experience working in Agile or iterative analytical environments
SUITABILITY REQUIREMENTSAbility to obtain and maintain a Public Trust Clearance | U.S. Citizenship required

Ascension LLC is seeking a Fraud Analytics Subject Matter Expert (SME) to support government-led fraud analytics initiatives focused on identifying, analyzing, and mitigating fraud risks across large-...

12 Months+, Full-Time
Washington, DC
Posted 4 months ago

The Senior Data Engineer supports government-led fraud analytics initiatives by designing, building, and maintaining scalable data pipelines, integration frameworks, and analytical data environments. This role is responsible for enabling predictive modeling, fraud detection, and operational analytics through high-quality, reliable, and secure data architecture.

The position plays a critical role in supporting model development, monitoring, and production operations by ensuring seamless data ingestion, transformation, and availability across structured and unstructured data sources. The Senior Data Engineer works closely with data scientists, analysts, and government stakeholders to operationalize fraud detection capabilities and enhance analytical performance across filing and non-filing periods.


Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT pipelines supporting fraud analytics and modeling efforts
  • Integrate data from internal IRS systems and external data sources to support fraud detection and taxpayer protection strategies
  • Support development and deployment of predictive models, filters, and business rules in production and non-production environments
  • Ensure data quality, integrity, and consistency across all analytical platforms
  • Optimize data pipelines for performance, scalability, and reliability
  • Support data migration and consolidation efforts across legacy and modernized environments
  • Enable real-time and batch data processing for fraud monitoring and response activities
  • Collaborate with data scientists and analysts to structure datasets for modeling and reporting
  • Implement data governance, metadata management, and documentation standards
  • Provide technical support for production systems and troubleshoot data-related issues
  • Support reporting and dashboard development by ensuring availability of clean, structured datasets

Supported PWS Tasks

  • 4.5 Model Development
  • 4.6 Monitoring
  • 4.7 Data Migration
  • 4.13 Production Support
  • 4.15 Reporting Support

Day-to-Day Activities

  • Develop and maintain ETL pipelines using tools such as Python, SQL, or cloud-native data services
  • Ingest and transform large datasets from multiple structured and unstructured sources
  • Monitor pipeline performance and resolve data processing issues
  • Collaborate with analytics teams to prepare datasets for fraud models and rule engines
  • Perform data validation, cleansing, and reconciliation activities
  • Support deployment and maintenance of data workflows in production environments
  • Document data flows, schemas, and transformation logic
  • Participate in daily standups, sprint planning, and technical reviews
  • Respond to ad hoc data requests supporting emerging fraud schemes or analytical needs
  • Assist in implementing enhancements to improve data processing efficiency and accuracy

Job Features

Job CategoryData Analysis and Analytics
MINIMUM QUALIFICATIONSBachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field, 6 to 8 years of experience in data engineering, data integration, or data architecture roles
REQUIRED SKILLSRelevant cloud certifications (AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent) preferred but not required
TECHNICAL SKILLSStrong experience with SQL and relational databases Experience with ETL/ELT tools and frameworks Proficiency in Python, Java, or similar programming languages Experience with big data platforms such as Hadoop, Spark, or cloud-based data services (AWS, Azure, or GCP) Knowledge of data warehousing concepts and data modeling techniques Experience working with large-scale, high-volume datasets Familiarity with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory) Understanding of data security and governance practices
DESIRED QUALIFICATIONSEducation & Experience: Master’s degree in a related field preferred Experience supporting federal government or IRS data environments
SUITABILITY/SECURITY REQUIREMENTSAbility to obtain and maintain a Public Trust (Moderate Risk) clearance U.S. Citizenship required Must comply with IRS security, privacy, and data protection requirements Background investigation required prior to onboarding

The Senior Data Engineer supports government-led fraud analytics initiatives by designing, building, and maintaining scalable data pipelines, integration frameworks, and analytical data environments. ...

12 Months+, Full-Time
Remote
Posted 4 months ago

The Technical Lead (AI/ML) provides technical leadership and oversight for fraud analytics model development, deployment, and lifecycle management in support of IRS identity theft and fraud detection programs. This role is responsible for guiding the design, development, and continuous improvement of predictive models, business rules, and analytical frameworks operating in both production and non-production environments.

The Technical Lead collaborates closely with government stakeholders, data scientists, and operational teams to ensure models are effective, scalable, and aligned with evolving fraud schemes and taxpayer protection strategies. This role supports critical PWS tasks including model development and maintenance, model monitoring and performance evaluation, analytical support, pilot analytics, and production support.


Key Responsibilities

  • Provide technical direction for AI/ML model development, deployment, and lifecycle management
  • Oversee development, enhancement, and consolidation of predictive models, filters, and business rules
  • Ensure models are optimized for fraud detection, identity theft differentiation, and operational efficiency
  • Lead model validation, performance monitoring, and recalibration efforts
  • Support rapid analytical response to emerging fraud schemes and vulnerabilities
  • Guide integration of internal and external data sources into analytical models
  • Collaborate with government stakeholders to align analytical outputs with program objectives
  • Ensure compliance with IRS standards for model governance, documentation, and auditability
  • Provide technical mentorship to data scientists and analysts
  • Support transition of models from pilot to production environments

Day-to-Day Activities

  • Review and guide ongoing model development and tuning activities
  • Analyze model performance metrics and recommend enhancements
  • Coordinate with analysts to evaluate fraud patterns and emerging schemes
  • Oversee testing and validation of new models and rules
  • Participate in technical discussions with IRS stakeholders and cross-functional teams
  • Support troubleshooting of model performance issues in production
  • Review code, documentation, and analytical outputs for quality and accuracy
  • Provide input to reporting, dashboards, and performance tracking metrics
  • Facilitate knowledge sharing and technical best practices across the team

Job Features

Job CategoryTechnology & Digital Solutions
MINIMUM QUALIFICATIONSBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field 6 to 8 years of experience in data science, machine learning, or fraud analytics
REQUIRED SKILLSProficiency in programming languages such as Python, R, or SQL |Strong understanding of model lifecycle management, validation, and performance monitoring |Knowledge of fraud detection methodologies and analytical techniques | Strong problem-solving and analytical skills | Ability to communicate technical concepts to non-technical stakeholders
TECHNICAL SKILLSDemonstrated experience developing and deploying predictive models in production environments| Experience with machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)|Experience working with large, complex datasets and data integration techniques
DESIRED QUALIFICATIONSExperience supporting IRS or other federal financial or fraud-related programs,Familiarity with identity theft and tax fraud schemes, Experience with cloud-based analytics platforms (AWS, Azure, or Google Cloud) | Knowledge of model governance, explainability, and compliance frameworks | Experience with real-time or near real-time analytics and decisioning systems Familiarity with big data technologies such as Spark or Hadoop | Experience supporting Agile development environments |Professional certifications such as: Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty Microsoft Certified: Azure Data Scientist Associate
SUITABILITY/SECURITY REQUIREMENTSAbility to obtain and maintain IRS Public Trust (MBI) clearance | U.S. Citizenship required | Must pass background investigation and fingerprinting | Compliance with all IRS data security and privacy requirements

The Technical Lead (AI/ML) provides technical leadership and oversight for fraud analytics model development, deployment, and lifecycle management in support of IRS identity theft and fraud detection ...

12+ Months, Full-Time
Remote
Posted 4 months ago

Ascension LLC is seeking a detail-oriented and execution-focused Contract Administrator / Closeout Specialist to support post-award acquisition activities for the U.S. Air Force’s 18th Contracting Squadron. This role is critical to ensuring that contracts are administered efficiently, remain compliant with Federal Acquisition Regulation (FAR) requirements, and are properly closed out in accordance with Air Force policies and procedures.

The ideal candidate is a mid-level acquisition professional with strong experience in contract administration, invoice review, and contract closeout who thrives in structured yet fast-paced environments. This individual will play a key role in maintaining contract integrity, supporting timely payments, and ensuring audit-ready documentation across the acquisition lifecycle.

This position directly supports mission readiness by ensuring contracts are properly executed, monitored, and closed, enabling the Government to efficiently procure goods and services necessary to support operations.

Ascension brings proven experience supporting acquisition lifecycle management, contract administration analytics, and process automation for federal clients such as DHS and DOE, delivering measurable improvements in invoice processing timelines and compliance tracking.


Summary of the Contractor Role

The Contract Administrator / Closeout Specialist will support post-award acquisition functions, including contract administration, modification processing, invoice validation, and contract closeout activities. This role ensures that all contractual actions are executed in compliance with FAR, DFARS (as applicable), and Air Force-specific guidance.

The ideal candidate will be:

  • Highly organized and detail-driven with strong documentation discipline
  • Self-directed and capable of working in a remote environment with minimal supervision
  • Proactive in identifying issues such as invoice discrepancies, incomplete contract files, or closeout delays
  • Skilled at managing multiple contracts simultaneously while maintaining accuracy and compliance

This role supports key PWS functions including:

  • Contract administration and performance monitoring
  • Invoice review and processing
  • Contract modification tracking
  • Claims/dispute documentation support
  • Contract closeout documentation and reconciliation

Tools and Processes Utilized:

  • FAR/DFARS and Air Force acquisition policies
  • Contract writing and management systems (e.g., FPDS, contract databases)
  • Microsoft Office Suite and SharePoint-based repositories
  • Workflow and process tracking tools (aligned with Ascension’s automation capabilities)
  • Invoice tracking and financial reconciliation processes

Day-to-Day Activities

  • Administer contracts post-award to ensure compliance with terms, conditions, and performance requirements
  • Review and validate contractor invoices for accuracy, completeness, and compliance with contract terms
  • Track and process contract modifications, ensuring proper documentation and approvals
  • Maintain complete and audit-ready contract files in accordance with FAR and agency guidance
  • Monitor contract performance data and flag issues related to deliverables, timelines, or compliance
  • Coordinate with Contract Specialists, CORs, and financial personnel to resolve invoice discrepancies or contract issues
  • Support claims and dispute documentation by compiling contract records and supporting evidence
  • Prepare contract closeout packages, including reconciliation of funds, deliverables, and documentation
  • Ensure timely contract closeout in accordance with FAR Part 4.804 requirements
  • Assist in process improvement initiatives to streamline contract administration and closeout activities

Job Features

Job CategoryAcquisition & Contract Management, Project Management
MINIMUM QUALIFICATIONSBachelor’s degree from an accredited institution | Minimum 4+ years of federal acquisition and contract administration experience
REQUIRED SKILLSStrong working knowledge of Federal Acquisition Regulation (FAR) | Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) and document management systems | Strong written and verbal communication skills | Ability to manage multiple priorities and meet deadlines in a remote work environment
TECHNICAL SKILLSDemonstrated experience supporting contract administration, invoice review, and contract closeout | Experience maintaining contract files and supporting audits or compliance reviews
DESIRED QUALIFICATIONSExperience supporting DoD or Air Force acquisition environments | Familiarity with DFARS and Air Force-specific contracting procedures | Experience with contract writing systems or financial systems (e.g., FPDS, WAWF, or similar) | Experience supporting high-volume contracting environments (GS-1102 equivalent support) | Knowledge of process improvement or workflow automation tools (e.g., Power Platform, SharePoint workflows) | Professional certification such as FAC-C, DAWIA, or NCMA (CCM, CFCM)
SUITABILITY/SECURITY REQUIREMENTSAbility to obtain and maintain a Public Trust or Secret Clearance (final requirement to be determined by the Government) | Must be eligible to work on U.S. Government contracts

Ascension LLC is seeking a detail-oriented and execution-focused Contract Administrator / Closeout Specialist to support post-award acquisition activities for the U.S. Air Force’s 18th Contracting S...

12 Months+, Full-Time
Remote
Posted 4 months ago

Ascension LLC is seeking a detail-oriented and mission-focused Contract Specialist to support acquisition operations for the U.S. Air Force 18th Contracting Squadron (18 CONS). The ideal candidate will bring strong experience in federal acquisition lifecycle activities, including market research, solicitation preparation, source selection support, contract administration, and closeout documentation.

This role is critical to ensuring the 18th Contracting Squadron can efficiently execute procurement actions supporting the operational mission of the 18th Wing in the Indo-Pacific theater. The Contract Specialist will work closely with the Contractor Program Manager and Government contracting personnel to support contracting operations while ensuring compliance with the Federal Acquisition Regulation (FAR), Department of Defense regulations, and Air Force acquisition policies.

The ideal candidate will be someone who:

  • Thrives in a fast-paced federal acquisition environment
  • Possesses strong analytical and organizational skills
  • Demonstrates the ability to manage multiple contracting actions simultaneously
  • Communicates effectively with contracting officers, program stakeholders, and vendors
  • Maintains a high level of attention to detail when preparing acquisition documentation

This position is well suited for acquisition professionals who want to contribute to mission-critical defense contracting activities while working in a collaborative and agile team environment.


Summary of the Contractor Role

The Contract Specialist will support the full acquisition lifecycle for procurement actions executed by the 18th Contracting Squadron. The role involves assisting Government Contracting Officers in developing acquisition strategies, preparing solicitations, supporting proposal evaluations, administering contracts, and preparing closeout documentation.

The selected professional will apply knowledge of federal procurement regulations and contracting procedures to assist in managing contracting activities for supplies, services, and construction acquisitions. The role requires the ability to independently analyze procurement documentation, coordinate with acquisition stakeholders, and ensure contracting actions are executed in accordance with regulatory and policy requirements.

The ideal candidate should demonstrate the ability to:

  • Interpret acquisition policies and FAR guidance
  • Prepare clear and compliant acquisition documentation
  • Evaluate proposals and quotations against established criteria
  • Track contract performance and administrative requirements
  • Support the timely execution of contract modifications and closeouts

Contract Specialists will work in a remote environment while supporting a government acquisition team operating on Japan Standard Time coordination, and must be able to effectively communicate and collaborate in a distributed work setting.


Day-to-Day Activities

The Contract Specialist will perform activities supporting the acquisition lifecycle. These activities may include but are not limited to:

  • Conduct market research to support acquisition planning and procurement strategies
  • Prepare acquisition documentation, including acquisition plans, IGCE inputs, and procurement request packages
  • Draft and issue solicitations including RFQs, RFPs, and IFBs
  • Support the development of source selection plans and evaluation criteria
  • Assist in proposal and quotation evaluations against solicitation requirements
  • Conduct cost and price analysis in support of acquisition decisions
  • Prepare contract award documentation and supporting acquisition files
  • Process and document contract modifications and administrative actions
  • Review contractor deliverables and performance documentation
  • Monitor contract performance and support the resolution of contractual issues
  • Assist with invoice review and payment documentation
  • Prepare and organize contract closeout documentation
  • Maintain accurate contract files and documentation in accordance with FAR and Air Force policies
  • Coordinate with the Program Manager and Government COR regarding workload priorities
  • Participate in acquisition planning meetings and contract status discussions

Job Features

Job CategoryFederal Contracting
MINIMUM QUALIFICATIONSBachelor’s degree from an accredited institution
REQUIRED SKILLSMinimum 4 years of federal contracting experience
TECHNICAL SKILLSStrong understanding of: Federal Acquisition Regulation (FAR) | Defense Federal Acquisition Regulation Supplement (DFARS) | Air Force acquisition procedures | Federal procurement lifecycle processes
DESIRED QUALIFICATIONSExperience supporting Department of Defense or Air Force acquisition organizations, Experience supporting OPM 1102 contracting functions Familiarity with contract writing systems or procurement platforms Professional certification such as: FAC-C, DAWIA Contracting Certification, NCMA CFCM or CPCM, PMP or similar program management certification, Experience supporting source selections and evaluation boards, Ability to support multiple contracting actions concurrently while meeting deadlines
SUITABILITY/SECURITY REQUIREMENTSAbility to obtain and maintain Public Trust or favorable background investigation, U.S. Citizenship required

Ascension LLC is seeking a detail-oriented and mission-focused Contract Specialist to support acquisition operations for the U.S. Air Force 18th Contracting Squadron (18 CONS). The ideal candidate wil...

12 Months+, Full-Time
Remote
Posted 4 months ago

Ascension LLC is seeking an experienced Senior Contract Specialist to support the United States Air Force 18th Contracting Squadron (18 CONS) by performing acquisition lifecycle support services that enable mission-critical procurement activities.

This role is critical to helping the Government manage an increasing contracting workload by providing expert support across the pre-award and post-award phases of federal acquisitions, including market research, solicitation development, proposal evaluation support, price/cost analysis, contract administration, and contract closeout.

The ideal candidate will be a mid-to-senior level federal acquisition professional with experience comparable to a GS-12 Contract Specialist (OPM 1102 series) who understands the complexities of the Federal Acquisition Regulation (FAR), Department of Defense acquisition policies, and Air Force contracting procedures.

Successful candidates will be detail-oriented professionals who thrive in mission-driven environments and possess the ability to independently manage multiple acquisition packages while supporting Contracting Officers and Government stakeholders.

This position is well suited for acquisition professionals who want to apply their contracting expertise to support mission operations within the U.S. Air Force acquisition environment.


Summary of the Contractor Role

The Senior Contract Specialist provides expert-level acquisition support services that enable the 18th Contracting Squadron to procure supplies, services, and construction requirements necessary to support the mission of the 18th Wing.

The contractor will support the Government by performing functions throughout the acquisition lifecycle while ensuring compliance with federal acquisition regulations, Air Force policy, and agency procedures. Contractor personnel will support but not perform inherently governmental functions, such as obligating funds or executing contractual documents.

The ideal candidate will demonstrate strong analytical skills, sound acquisition judgment, and the ability to navigate complex contracting requirements while maintaining regulatory compliance.

The individual must be capable of working in a remote, distributed team environment, communicating effectively with contracting officers, program managers, technical evaluators, and other acquisition stakeholders.

The Senior Contract Specialist will use a variety of federal acquisition tools, contract writing systems, and data repositories commonly used in DoD contracting environments. This includes acquisition planning documentation, market research tools, contract writing systems, and evaluation support tools necessary to complete procurement actions efficiently and accurately.


Position Day-to-Day Activities

The Senior Contract Specialist will perform acquisition lifecycle support tasks that may include:

  • Conduct market research to identify potential vendors, contract vehicles, and procurement strategies.
  • Develop acquisition plans, procurement strategies, and supporting acquisition documentation.
  • Draft and prepare solicitation packages including RFQs, RFPs, and IFBs.
  • Develop evaluation criteria and support the creation of source selection plans.
  • Coordinate with program managers and technical stakeholders to refine requirements documentation.
  • Support proposal and quotation evaluations in accordance with FAR and source selection procedures.
  • Perform cost and price analysis for proposed contracts and modifications.
  • Prepare contract award documentation and contract files for Government review.
  • Support the administration of contracts to ensure compliance with terms and conditions.
  • Monitor contractor performance, deliverables, and milestones.
  • Draft and process contract modifications as required.
  • Review and process contractor invoices for accuracy and payment approval workflows.
  • Assist the Government with the resolution of claims, disputes, and contract performance issues.
  • Prepare contract closeout documentation and ensure proper file documentation.
  • Maintain acquisition documentation and contract files in accordance with FAR requirements.
  • Provide advisory support to Contracting Officers and Contracting Officer Representatives.
  • Participate in meetings, acquisition reviews, and contracting strategy discussions.

Job Features

Job CategoryAcquisition & Contract Management
MINIMUM QUALIFICATIONSBachelor’s degree from an accredited college or university in Business, Acquisition Management, Public Administration, Finance, or a related discipline.
REQUIRED SKILLSMinimum 6 years of federal contracting experience supporting acquisition lifecycle activities. | Experience equivalent to a GS-12 Contract Specialist (OPM 1102 series) level.
TECHNICAL SKILLSStrong knowledge of the Federal Acquisition Regulation (FAR) and applicable supplements (DFARS, AFFARS). | Experience supporting pre-award and post-award federal procurement activities. | Experience developing solicitations (RFQ, RFP, IFB) and acquisition documentation. | Experience supporting source selection processes and proposal evaluations. | Experience conducting cost and price analysis. | Experience supporting contract administration activities including modifications and closeouts.
DESIRED QUALIFICATIONSMaster’s degree in Business Administration, Public Administration, or Acquisition Management. | DAWIA Contracting Certification or FAC-C certification (Level II or III). | Experience supporting DoD or Air Force contracting organizations. | Experience with DoD contract writing systems or acquisition tools. | Experience supporting construction, services, or complex procurement actions. | Knowledge of Air Force acquisition policies and procedures. | Experience supporting large contracting offices or high acquisition workloads.
SUITABILITY/SECURITY REQUIREMENTSPass a Federal background investigation. | Obtain and maintain DoD Public Trust or Secret clearance, if required by the Government. | Maintain eligibility to support Department of Defense contracting operations.

Ascension LLC is seeking an experienced Senior Contract Specialist to support the United States Air Force 18th Contracting Squadron (18 CONS) by performing acquisition lifecycle support services that ...