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business systems analyst ii

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customer experience designer

data architect enterprise data analyst

Imagineeer

<div><div><div><b>Benefits:</b></div>
<ul><li>401(k) matching</li>
<li>Competitive salary</li>
<li>Health insurance</li>
<li>Paid time off</li>
</ul></div><div><div><b>About this Role:</b><br>
</div>
<div><br>
The <b>Data Architect / Enterprise Data Analyst</b> will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations.<br>
</div>
<div><br>
The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data.<br>
</div><div><b>Key Responsibilities:</b><br>
</div><ul><li>Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities.</li></ul><br>
<ul><li>Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules.</li></ul><br>
<ul><li>Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform.</li></ul><br>
<ul><li>Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform.</li></ul><br>
<ul><li>Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework.</li></ul><br>
<ul><li>Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and</li></ul><br>
<div>Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications.<br>
</div><ul><li>Develop reports, queries, and analytics solutions to support business intelligence and operational insights.</li></ul><br>
<ul><li>Create and maintain technical documentation for all configurations, customizations, and integrations.</li></ul><br>
<ul><li>Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability.</li></ul><br>
<ul><li>Support upgrades, patches, and maintenance activities with minimal operational disruption.</li></ul><br>
<ul><li>Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management.</li></ul><br>
<ul><li>Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance.</li></ul><div><br>
<br>
</div><div><b>Qualifications and Skills:</b><br>
</div><ul><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Information Technology, or a related discipline.</li></ul><br>
<ul><li>Proficient in SQL and relational database design, supporting scalable and efficient data solutions.</li></ul><br>
<ul><li>Proven success working within federal government systems or comparable enterprise environments.</li></ul><br>
<ul><li>At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain.</li></ul><div><br>
</div>
<ul><li>Eligible to obtain and maintain a <b>Public Trust clearance/</b>must be a US Citizen</li></ul><br>
<ul><li>Certified in data governance and management (e.g., CDMP, DGCP).</li></ul><br>
<ul><li>Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives.</li></ul><br>
<ul><li>In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005).</li></ul><br>
<ul><li>Skilled in conducting data privacy impact assessments and applying NIST data security guidelines.</li></ul><br>
<ul><li>Familiar with AI governance, and responsible machine learning practices.</li></ul><br>
<ul><li>Proficient in cloud-based data governance, master data management, and data architecture principles.</li></ul><br>
<ul><li>Experienced with business intelligence and data visualization tools.</li></ul><br>
<ul><li>Knowledgeable in records management standards and federal compliance procedures.</li></ul><br>
<div><b>Desired Skills and Competencies:</b><br>
</div><ul><li>Experience supporting <b>HHS</b> or other federal health agencies (CMS, NIH, HRSA, FDA, CDC).</li>
<li>Familiarity with <b>federal data policies</b> such as the Federal Data Strategy and CDO requirements.</li>
<li>Experience with <b>enterprise data warehouses</b> or <b>data lakes</b>.</li>
<li>Certifications such as <b>CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA</b>.</li>
<li>Knowledge of <b>FHIR, HL7, NIEM</b> or federal data interoperability standards.</li>
<li>Experience with <b>API integrations, service-oriented architecture (SOA), or microservices</b>.</li>
</ul>
</div><p>Flexible work from home options available.</p></div>

Data Architect-Enterprise Data Analyst

Diligent

<div><p><b>Role Overview:</b></p>
<p>
You don't just design systems, you shape how businesses sell, scale, and succeed. As a Sales Cloud Solution Architect, you'll lead end-to-end Salesforce architecture, driving high-impact CRM solutions across quoting, CPQ, AI-powered automation, and customer lifecycle management. You'll work hands-on with stakeholders to turn complex requirements into scalable, integrated solutions, while influencing strategy, improving data flows, and embedding AI into go-to-market processes. If you thrive in enterprise architecture, system integration, and building high-performance Salesforce ecosystems&mdash;this is where you make your mark.</p>
<p><b>
Here's a breakdown of what you'll do:</b></p>
<ul>
<li>Design and deliver scalable Salesforce Sales Cloud architectures, covering CPQ, automation, and customer lifecycle workflows.</li>
<li>Lead end-to-end solution design, from requirements gathering through to deployment and optimization.</li>
<li>Integrate Salesforce with enterprise platforms (ERP, data warehouses, middleware) using APIs and tools like MuleSoft or Boomi</li>
<li>Drive AI and automation initiatives across sales and commercial operations to improve efficiency and insights.</li>
<li>Define data models, governance standards, and best practices for performance, security, and scalability.</li>
<li>Mentor developers and admins while guiding cross-functional teams through successful delivery</li>
</ul>
<p><b>These are the essentials you'll need to get an interview:</b></p>
<ul>
<li>Strong experience as a Salesforce Solution Architect / Technical Architect with deep expertise in Sales Cloud</li>
<li>Proven track record delivering large-scale Salesforce implementations in complex, integrated environments.</li>
<li>Solid knowledge of CPQ, CLM, Quote-to-Cash (QTC), and CRM process design</li>
<li>Hands-on experience with Salesforce integrations (REST/SOAP APIs, middleware like MuleSoft, Boomi, or Informatica)</li>
<li>Strong understanding of data modeling, automation (Flows, Apex), and platform architecture best practices</li>
<li>Ability to translate business requirements into scalable technical solutions and influence senior stakeholders.</li>
<li>A proactive, self-starting mindset with strong communication and problem-solving skills</li>
</ul>
<p><b>It would be great if you had these too, but we'll support you if you don't:</b></p>
<ul>
<li>Experience with Einstein AI, Agentforce, or AI-driven Salesforce features</li>
<li>Salesforce certifications (Sales Cloud Consultant, Application Architect, System Architect)</li>
<li>Exposure to tools like Snowflake, NetSuite, or modern data platforms</li>
<li>Experience with LWC, Visualforce, or advanced Apex development</li>
<li>Background in data governance, analytics, or master data management</li>
</ul><p></p><div>
<p><b>About Us</b></p>
<p>
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.</p>
<div>
At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you're not just building the future - you're an agent of positive change, joining a global community on a mission to make an impact.</div>
<p>
Learn more at diligent.com or follow us on LinkedIn and Facebook</p><br>
<p></p>
<p><b>
What Diligent Offers You</b></p>
<ul>
<li><b>Creativity is ingrained in our culture.</b> We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients</li>
<li><b>We care about our people. </b>Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few</li>
<li><b>We have teams all over the world</b>. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.</li>
<li><b>Diversity is important to us.</b> Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.</li>
</ul>
<p>Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability &ndash; to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.</p>
<p>
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to <b>work onsite at least 50% of the time.</b> We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.</p><br>
<p></p>
<p>
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.</p>
<p><b>
To all recruitment agencies:</b> Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.</p></div></div>

Staff Business Systems Analyst

Openkyber

<div><p>About the Role We are seeking a highly skilled Data Engineer with demonstrated project management capabilities to join our growing data and analytics team in the Washington, DC metropolitan area. This role bridges technical data engineering with cross-functional coordination, making it ideal for professionals who thrive at the intersection of technology and delivery leadership. You will architect and build enterprise-scale data infrastructure while concurrently managing project timelines, stakeholder expectations, and team deliverables in a dynamic, mission-focused environment. Key Responsibilities Data Engineering Design, develop, and maintain scalable data pipelines using Apache Spark, Airflow, dbt, and cloud-native services (AWS, Azure, or Google Cloud Platform) Build and optimize data warehouse and Lakehouse architectures (Redshift, Snowflake, BigQuery, Databricks Delta Lake) Implement ELT/ETL processes to ingest structured and unstructured data from diverse federal, commercial, and third-party sources Develop and enforce data quality frameworks, validation rules, and monitoring alerts using tools such as Great Expectations or dbt tests Collaborate with data scientists and analysts to productionize ML models and analytical datasets Design and maintain data models (star/snowflake schemas, OBT) in alignment with business and reporting needs Ensure data platform security, access control, and compliance with federal regulations (FedRAMP, FISMA, NIST) where applicable Project Management Lead end-to-end delivery of data engineering projects - from scoping and requirements gathering through deployment and post-launch support Develop and maintain project plans, roadmaps, risk registers, and status reports for executive and stakeholder audiences Facilitate Agile ceremonies (sprint planning, standups, retrospectives) and manage backlog prioritization in Jira or Azure DevOps Coordinate cross-functional teams including data scientists, analysts, DevOps engineers, and business stakeholders Proactively identify and mitigate technical and schedule risks; escalate blockers with proposed solutions Manage vendor and contractor relationships, SOWs, and deliverable acceptance criteria Track and report on project KPIs including velocity, burn rate, and milestone completion Required Qualifications 3 to 5+ years of experience in data engineering roles with progressively increasing responsibility 2+ years of project or program management experience in a technical environment Proficiency in SQL and at least one scripting/programming language (Python or Scala strongly preferred) Hands-on experience with cloud platforms - AWS (Glue, Redshift, S3, Lambda), Azure (ADF, Synapse, ADLS), or Google Cloud Platform (Dataflow, BigQuery, Cloud Composer) Experience with workflow orchestration tools (Apache Airflow, Prefect, or Dagster) Solid understanding of data modeling principles, data warehousing, and lakehouse paradigms Demonstrated experience managing Agile/Scrum delivery using Jira, Azure DevOps, or similar tools Excellent written and verbal communication skills with the ability to present technical concepts to non-technical audiences Bachelor's degree in computer science, Information Systems, Engineering, or a related field Preferred Qualifications Experience supporting federal government clients or working in a cleared environment (clearance a plus) Familiarity with data governance frameworks, data cataloging tools (Collibra, Alation, Apache Atlas), and lineage tracking PMP, PMI-ACP, or Scrum Master (CSM/PSM) certification AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent cloud certification Experience with real-time streaming data (Apache Kafka, Kinesis, or Pub/Sub) Knowledge of CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation) for data platform deployments Master's degree in a quantitative or technical discipline Technical Stack Languages Python, SQL, Scala, Bash Cloud Platforms AWS, Azure, Google Cloud Platform Data Warehouses Snowflake, Redshift, BigQuery, Synapse Orchestration Apache Airflow, dbt, Prefect Streaming Apache Kafka, AWS Kinesis BI &amp; Visualization Power BI, Tableau, Looker DevOps / Infra Terraform, Docker, Kubernetes, GitHub Actions PM Tools Jira, Confluence, Azure DevOps, MS Project
</p><p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Lead DevOps Engineer (GCP)

Constellation Brands

<div><p><b>Pay:</b> $140,000.00-$150,000.00 per year</p><p><b>
Job Description: Technical Business Analyst</b><br>
<br>
Constellation seeks a Technical Business Analyst to join our team in Washington, DC, as a detail-oriented and communicative professional consultant to support the technical business analytical needs of an enterprise-wide human resource management system. This position will be responsible for using Innoslate to document program requirement and details using various industry standards and best practices. Additionally, the Technical Business Analyst will help optimize the program&rsquo;s use of the Innoslate tool to meet agency objectives, gather and document requirements, conduct technical analysis, produce program artifacts, and document current and future program initiatives.
<br>
<br>
<b>Key Responsibilities:</b></p><ul><li>
Delivers technical business analytical support in coordination with various program stakeholders in engineering, logistics, testing, financial management, information technology, compliance (privacy, security, records management), requirements, software development, and system&rsquo;s current prime vendor to gain understanding of program requirements and solutioning.</li><li>
Develops models based on an HR system, associated Systems of Systems, and program initiatives in Innoslate using industry standard MBSE practices.
</li><li>Optimize system models and the Innoslate tool to support technical reviews and other Acquisition Program Management execution tasks.</li></ul><br>
<b>
The ideal candidate must have the following experience, background, and credentials:</b><ul><li>
Bachelor&rsquo;s degree in Systems Engineering, Business, Data Analytics, or other relevant fields is a plus.
</li><li>Has experience documenting systems using MBSE tools (i.e. Innoslate, Spark, etc.).</li><li>
Experience with typical IT Program Office software tools (Microsoft Project, Excel, JIRA, Confluence).</li><li>
Strong verbal and written communication skills for drafting briefs, reports, and stakeholder updates.</li><li>
Ability to work collaboratively in a cross functional environment.</li><li>
Has previous systems engineering experience supporting an IT or software intensive acquisition program; experience with Salesforce platform preferred.
</li><li>Be a U.S. citizen able to pass a background investigation by the client agency. DHS clearance with CBP/ICE, or DoD Top-Secret preferred.
</li></ul><b>Job Type:</b> Full-time<br>
<br>
<b>Work Location: </b>Hybrid (Washington, DC)<p><b>
Education:</b></p><ul><li>
Bachelor's (Required)</li></ul><p><b>
Benefits:</b></p><ul><li>
401(k)</li><li>
401(k) matching</li><li>
Dental insurance</li><li>
Flexible spending account</li><li>
Health insurance</li><li>
Life insurance</li><li>
Paid time off</li><li>
Vision insurance</li></ul><p><b>
Application Question(s):</b></p><ul><li>
This position requires U.S. citizenship. Are you a U.S. citizen ?</li><li>
Do you have a DHS or a DoD clearance ?</li><li>
Do you have experience in documenting systems using MBSE tools (i.e. Innoslate, Spark, etc.)?</li></ul><p>
</p><p>m1NxCse6a3</p></div>

Technical Business Analyst

Board of Governors of the Federal Reserve System

<p></p><div><div><p><b>Minimum Education</b><br>
<br>
Enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship.<br>
<br>
<b>Minimum Experience</b><br>
<br>
0<br>
<br>
<b>Summary</b><br>
<br>
The Federal Reserve Board (Board) provides students opportunities for career success. The Board&rsquo;s Internship program is designed to provide valuable work experience for graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board&rsquo;s internship program is granted to U.S. citizens. Applicants must be currently enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.</p></div><p></p><div><b>
Position Requirements</b></div><p></p><div><p>
Summary</p><p>
Technology Services (TS) seeks Data Science, Data Engineer, and Data Architect majors with academic and/or work experience in Data Management, Data Governance, or Data Science. The internship is the ideal opportunity to work in an environment where transformation and organization change management intersect with human resources, financial, and other technology systems. The applicant will support existing Data Management program initiatives.<br>
The applicant will help support master data integrity processes and procedures for critical systems as well as maintain the processes that support the data quality initiatives.<br>
The applicant in collaboration with subject matter experts and data stewards, will assist in defining, implementing, and monitoring data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable. The applicant will learn how to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish user requests from the underlying true needs. The applicant should have a working understanding of data governance framework, policy, and standards. The applicant should have some experience performing ETL activities such as importing spreadsheets and csv files into databases and running queries. The applicant must be motivated to develop career skills, which align with business and technology through people, process, and tools. The position requires strong interpersonal skills, self-motivation, excellent written and oral skills, and a customer centric approach. The applicant must be able to excel on individual as well as team assignments.</p><p>
Qualifications<br>
Applications<br>
Programming<br>
Web<br>
MS Office Suite<br>
Collibra<br>
ETL Apps<br>
SQL<br>
Python</p><p><br>
This position requires an onsite presence in Washington, D.C. and may allow some telework contingent on policy at time of hire.</p></div><p></p><div><b>
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, pregnancy, national origin, age, disability, genetic information, or application, membership, or service in the uniformed services.</b></div></div>

Year-Round Graduate Intern - Technology Services - MFS

BryceTech

<div>
 BryceTech is a trusted leader in complex technology domains, delivering data-driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R&amp;D programs, and strategic advisory support. Our clients &ndash; including NASA, DoD, HHS, DHS, and other civil and national security agencies &ndash; rely on us to drive mission success and accelerate innovation.
 <br/>
 <br/>
 BryceTech has been recognized in the
 <em>
  Washington Technology
 </em>
 Fast 50 ranking of top high-growth small businesses for five consecutive years and received a GovCon Contractor of the Year Award in 2025, underscoring our strong growth, competitive positioning, and excellence in federal contracting. With a proven track record of winning sought-after contracts, scaling high-performance teams, and executing on critical government missions, BryceTech presents a compelling opportunity for strategic partnerships in the GovCon space.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 BryceTech is seeking a seeking an experienced Analyst to support data collection, analysis, and reporting efforts for DHS intelligence performance programs. This is an excellent opportunity for early-career professionals to gain experience in mission-focused analytics.
 <br/>
 <br/>
 <strong>
  Team Overview:
  <br/>
  <br/>
 </strong>
 These roles will collectively support a mission-critical program delivering performance analytics, evaluation, and decision support to DHS intelligence leadership. Team members will collaborate closely to transform complex data into actionable insights that enhance mission effectiveness across the homeland security enterprise.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leads data gathering and analytical activities to support project objectives and decision-making
  </li>
  <li>
   Designs and conducts qualitative and quantitative research to inform program insights and recommendations
  </li>
  <li>
   Develops and maintains databases and spreadsheets to organize, manage, and analyze data sets
  </li>
  <li>
   Creates process flow diagrams and visual representations to document workflows and improve process understanding
  </li>
  <li>
   Drafts project reports, analytic summaries, and other client deliverables
  </li>
  <li>
   Develops training materials to support stakeholder learning and program implementation
  </li>
  <li>
   Performs instructional design activities to structure effective learning content and delivery approaches
  </li>
  <li>
   Produces multimedia content to enhance training and knowledge transfer
  </li>
  <li>
   Delivers training sessions and facilitates knowledge sharing across client and project teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Active Top Secret Clearance with SCI eligibilty (TS/SCI)
  </li>
  <li>
   Bachelor&rsquo;s degree in a relevant field
  </li>
  <li>
   7+ years of experience in data analysis or research
  </li>
  <li>
   Basic proficiency in Excel and data visualization tools
  </li>
  <li>
   Strong attention to detail and organizational skills
  </li>
  <li>
   BS degree from an accredited university math, science, or data analytics
  </li>
  <li>
   7 years of relevant professional experience working in a complex organization in a leadership role
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 This position is contingent upon contract award.
 <br/>
 <br/>
 BryceTech offers a full range of benefits, including competitive salary, a comprehensive health plan including dental and vision coverage, company-paid life &amp; disability insurance policies, 401(k) plan with company match, and an educational reimbursement program.
 <br/>
 <br/>
 All your information will be kept confidential according to EEO guidelines.
</div>


Data Analyst

C4ADS

<div><h1 class="jobSectionHeader"><b>Data Scientist</b></h1>
<h2 class="jobSectionHeader"><b>Position Summary</b></h2>
<p>
The Data Scientist will research, design, and evaluate AI and machine learning solutions that advance C4ADS's investigative mission. This role is centered on applied research and experimentation, with a focus on designing and testing LLM-based workflows, building retrieval and agentic pipelines, and translating complex analytical needs into working tools that investigators and analysts can actually use.</p>
<p>
The ideal candidate combines strong technical depth in NLP and generative AI paired with genuine familiarity with global security, illicit networks, or open-source research. This person should be equally comfortable experimenting with emerging technologies, translating complex analytical needs into workable technical solutions, and communicating limitations and tradeoffs clearly to non-technical audiences.</p>
<h2 class="jobSectionHeader"><b>
Core Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>AI Research &amp; Experimentation</b></h3>
<ul><li>Research, prototype, and evaluate LLM-based approaches to investigative data challenges</li>
<li>Design and test RAG (retrieval-augmented generation) pipelines for document-heavy research workflows</li>
<li>Develop and maintain MCP-based agentic tooling that supports analyst workflows</li>
<li>Conduct prompt engineering and model evaluation to assess output quality, reliability, and limitations</li>
<li>Stay current with developments in generative AI, NLP, and vector-based retrieval and bring relevant advances into organizational practice</li>
</ul><h3 class="jobSectionHeader"><b>Applied NLP &amp; ML</b></h3>
<ul><li>Apply advanced NLP techniques to multilingual, unstructured text data including entity extraction, classification, clustering, and semantic search</li>
<li>Work with vector embeddings and embedding models to support similarity search and knowledge retrieval</li>
<li>Evaluate and select appropriate models and frameworks for specific research tasks, balancing performance, cost, and interpretability</li>
<li>Maintain awareness of ML fundamentals and apply sound experimental design when testing approaches</li>
</ul><h3 class="jobSectionHeader"><b>Analyst &amp; Investigator Support</b></h3>
<ul><li>Partner closely with research and program teams to understand investigative data needs</li>
<li>Translate complex analytical requirements into tractable ML or AI problem framings</li>
<li>Build and document tools and workflows that empower non-technical investigators to work with AI outputs effectively</li>
<li>Communicate model limitations, uncertainty, and appropriate use clearly to non-technical stakeholders</li>
</ul><h3 class="jobSectionHeader"><b>Data Visualization &amp; Communication</b></h3>
<ul><li>Develop clear visualizations and summaries that communicate analytical findings to internal and external audiences</li>
<li>Contribute to written outputs including technical documentation, research memos, and methodology notes</li>
<li>Present findings and methodologies to program teams and organizational leadership</li>
</ul><h3 class="jobSectionHeader"><b>External Engagement</b></h3>
<ul><li>Participate in technical demos and engagements with external partners and clients</li>
<li>Advise external stakeholders on AI-assisted research approaches and appropriate use of generative AI tools</li>
<li>Represent C4ADS's technical capabilities in partnership and grant contexts where relevant</li>
</ul><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<h3 class="jobSectionHeader"><b>Skills &amp; Experience</b></h3>
<ul><li>2-4 years of experience in data science, applied ML, or NLP research (professional, academic, or a strong combination)</li>
<li>Strong understanding of NLP fundamentals and generative AI concepts including transformers, embeddings, RAG, and prompt engineering</li>
<li>Proficiency in Python for data processing, modeling, and pipeline development</li>
<li>Working knowledge of SQL and relational data</li>
<li>Hands-on experience with LLM application frameworks such as LangChain, LlamaIndex, or similar</li>
<li>Experience working with vector databases or embedding-based retrieval (Pinecone, Weaviate, pgvector, or similar)</li>
<li>Familiarity with AWS cloud services for storing and processing data</li>
<li>Experience working with government datasets, legal documents, or public records is a plus</li>
<li>Proficiency with Git and collaborative development practices</li>
</ul><h3 class="jobSectionHeader"><b>Domain Knowledge</b></h3>
<ul><li>Background in international affairs, global security, conflict, sanctions, or illicit finance through coursework, research, or professional experience in the public sector, journalism, or other similar investigative and research fields.</li>
<li>Familiarity with OSINT methods or open-source research practices</li>
</ul><h3 class="jobSectionHeader"><b>Education</b></h3>
<ul><li>Bachelor's or advanced degree in Data Science, Computer Science, Mathematics, Statistics, or a related technical field preferred, equivalent demonstrated experience considered</li>
</ul><h3 class="jobSectionHeader"><b>Professional Competencies</b></h3>
<ul><li>Ability to independently scope and execute research projects, including shaping deliverables in collaboration with non-technical analytical teams</li>
<li>Strong analytical rigor with comfort questioning model outputs, stress-testing assumptions, and designing evaluations that surface failure modes</li>
<li>Thoughtful approach to AI ethics and responsible use, including awareness of bias, hallucination risks, and the stakes of applying AI in sensitive investigative contexts</li>
<li>Strong written and verbal communication skills, including ability to explain technical concepts to non-technical audiences</li>
<li>Collaborative working style with comfort operating across research and technical teams</li>
<li>Intellectual curiosity and genuine interest in the organization's mission</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<ul><li>Familiarity with Palantir Foundry or similar enterprise data platforms</li>
<li>Experience with graph databases or network analysis (Neo4j or similar)</li>
<li>Background in a nonprofit, policy, journalism, or national security research context</li>
<li>Experience with multilingual NLP or working across non-English language datasets</li>
</ul><h2 class="jobSectionHeader"><b>Working Conditions</b></h2>
<ul><li>Hybrid role based in Washington, DC, with a minimum of 2 in-office days per week</li>
<li>Standard business hours with occasional flexibility required based on project needs</li>
<li>Highly collaborative team environment with regular cross-functional engagement across research data, and operations teams</li>
</ul><h2 class="jobSectionHeader"><b>Compensation &amp; Benefits</b></h2>
<ul><li>Salary: $95,000</li>
<li>Benefits: Medical, Dental, and Vision insurance</li>
<li>Retirement: Voluntary 401(k) with 4% employer match</li>
<li>Time Off: Unlimited vacation and flex time, emphasizing outcomes over hours</li>
<li>Learning: $4,500 annual education stipend to grow your skills and language capabilities</li>
<li>Development: Access to customizable professional development resources</li>
<li>Culture: A mission-driven team that values hard work, creativity, and a healthy, supportive workplace</li></ul></div><p></p>

Data Scientist

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