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machine learning engineer

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


Machine Learning Engineer – Remote

Centene

<div><p>You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.<br>
</p><p><i>Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.</i></p><p><b>
Position Purpose:</b> Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions.</p><ul><li><p>
Leads the design, development, and research around complex Machine Learning (ML) systems, models, and schemes to apply to appropriate datasets for data modeling and statistical analysis</p></li><li><p>
Identifies differences in data distribution that could affect model performance in real-world situations</p></li><li><p>
Analyzes large and complex use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization</p></li><li><p>
Leads the maintenance and support of ML/AI software platforms by reviewing and solving issues and running ML/AI models</p></li><li><p>
Communicates business objectives and develop complex models that help to achieve them, along with metrics to track their progress</p></li><li><p>
Leads the writing of complex software documentation and complex software code to extract data from a variety of databases and data sources</p></li><li><p>
Manages available resources such as hardware, data, and personnel so that deadlines are met and deploy predictive models using established software patterns</p></li><li><p>
Leads the analysis of the ML algorithms that could be used to solve a given problem and rank them by their success probability</p></li><li><p>
Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning</p></li><li><p>
Analyzes errors of the model and implements strategies to overcome errors</p></li><li><p>
Performs other duties as assigned</p></li><li><p>
Complies with all policies and standards</p></li></ul><p><b>
Education/Experience:</b> A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5 &ndash; 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.<br>
<b>Technical Skills:</b></p><ul><li><p>
Experience with one or more of the following: C#, Database Design, Java, JavaScript, Machine Learning and Machine Learning Algorithms, Python, R (Programming Language), SQL, Statistics</p></li><li><p>
Experience with Continuous Integration, Linux and Predictive Modelling</p></li><li><p>
Experience with compute clouds, creating database schemas, continuous deployment</p></li><li><p>
Experience building ML/AI models using common methods within R and Python</p></li><li><p>
Knowledge of Open CV Linux</p></li></ul><p><b>
Soft Skills:</b></p><ul><li><p>
Seeks to acquire knowledge in area of specialty</p></li><li><p>
Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions</p></li><li><p>
Ability to work independently</p></li><li><p>
Demonstrated analytical skills</p></li><li><p>
Demonstrated project management skills</p></li><li><p>
Demonstrates a high level of accuracy, even under pressure</p></li><li><p>
Demonstrates excellent judgment and decision making skills</p></li><li><p>
Ability to communicate and make recommendations to upper management</p></li><li><p>
Ability to drive multiple projects to successful completion</p></li></ul>
Pay Range: $121,500.00 - $224,900.00 per year<p>
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.</p><p>
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.</p><p><br>
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act</p></div>

Lead Machine Learning Engineer

Indev

<p>InDev is seeking a Data Engineer with 6+ years of experience to join our team in designing, implementing, and optimizing data architectures and pipelines. You will work closely with our Department of Homeland Security (DHS) client, to build and manage data infrastructure that supports advanced data analytics, AI, machine learning, and automation initiatives aimed at enhancing operations, reducing costs, and improving efficiency.</p><p>This role specifically involves hands-on configuration (e.g., AWS tools, Airflow) and development (e.g., Python, R) for data that supports our Chief Financial Officer customer. In addition, you will work directly with senior executives and leaders to provide architecture, design, and technical advice for new initiatives (e.g., chatbots, automations, analytics)</p><p><b>YOUR FUTURE DUTIES AND RESPONSIBILITIES</b></p><ul><li>Design, develop, and optimize data pipelines and architectures that support data-driven decision-making across AI and ML initiatives</li><li>Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and quality</li><li>Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into centralized systems</li><li>Design, develop and maintain data models to support advanced analytics initiatives, AI/ML, Generative AI, and predictive analytics</li><li>Ensure data security and compliance with federal regulations, including managing sensitive and classified data</li><li>Monitor and maintain data pipelines to ensure continuous data flow and resolve any data-related issues</li><li>Collaborate with cross-functional teams to identify and integrate new data sources and optimize data management practices</li><li>Stay current with industry trends and emerging technologies in data engineering, cloud infrastructure, and big data processing</li><li>Perform other related duties as required to support the mission</li><li>Design and create interactive dashboards and reports using Tableau and Power BI</li><li>Present findings in a clear, concise manner tailored to both technical and non-technical audiences</li><li>Work with relational databases (e.g., Oracle, PostgreSQL, MySQL, Redshift) to support data integrity and consistency</li><li>Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS)</li><li>Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval</li><li>Ability to guide and support cloud modernization of data processes</li><li>Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders</li><li>Clearly articulate analytical concepts and results to a wide range of audiences</li><li>Contribute to and present client-facing presentations and written reports</li></ul><p><b>QUALIFICATIONS</b></p><ul><li>Bachelor&rsquo;s Degree in Mathematics, Computer Science, Information Systems, or a related discipline from an accredited institution in the United States.</li><li>6+ years of progressive experience in data science, advanced analytics, data visualization, and reporting, with demonstrated ownership of analytical solutions from concept through delivery and operationalization.</li><li>Proven ability to lead the design, development, and deployment of data-driven solutions, including AI/ML models, predictive analytics, and business intelligence products, in production environments.</li><li>Advanced proficiency in Python for data manipulation, automation, and development of scalable analytical workflows.</li><li>Strong expertise in SQL and relational databases (e.g., Oracle, PostgreSQL, MySQL), with the ability to design efficient data models and support complex data integration needs.</li><li>Extensive experience developing automated data pipelines and analytics workflows using Python, R, SQL, and related tools, with a focus on scalability, reliability, and maintainability (e.g., Pandas, R Shiny)</li><li>Hands-on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutions.</li><li>Demonstrated ability to design and deliver impactful data visualizations and dashboards using Tableau and/or Power BI, with a strong emphasis on data storytelling and executive-level communication.</li><li>Experience leading or significantly contributing to the full analytics lifecycle, including problem framing, data acquisition, modeling, validation, deployment, and performance monitoring.</li><li>Ability to operate independently in ambiguous environments, translating complex business challenges into structured analytical approaches and actionable insights.</li><li>Strong collaboration and leadership skills, with experience guiding cross-functional teams and influencing stakeholders at multiple levels of the organization.</li><li>Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.</li><li>Familiarity with modern software development practices, including version control (e.g., Git), testing, and iterative development methodologies.</li><li>Experience developing prototypes and proof-of-concept solutions, with the ability to rapidly iterate and transition solutions into production-ready systems is strongly preferred.</li></ul><p><b>NICE TO HAVES</b></p><ul><li>Prior experience working with ETL tools like Informatica, Talend, or Airflow</li><li>Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed systems</li><li>Familiarity with automation tools (e.g., UiPath, Power Automate) and their integration into data pipelines</li><li>Experience working in environments requiring DHS Suitability Clearance is highly preferred.</li><li>Strong knowledge of change management processes and technologies (e.g., GitHub)</li><li>Experience modeling and analyzing big data in cloud environments.</li><li>Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end.</li><li>Knowledge of federal data governance standards, compliance requirements, frameworks, and best practices.</li></ul><p><b>ABOUT US</b></p><p>At InDev, we&rsquo;re not just a company; we&rsquo;re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we&rsquo;re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.</p><p><b>WHY INDEV</b></p><ul><li><b>Innovative Environment: </b>Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.</li><li><b>Meaningful Impact: </b>Contribute to projects that directly impact federal agencies, driving positive change on a national scale.</li><li><b>Dynamic Collaboration: </b>Work alongside diverse experts who are passionate about pushing boundaries and making a difference.</li><li><b>Agile Mindset: </b>Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.</li><li><b>Learning Culture: </b>Enjoy ongoing learning opportunities and professional development to expand your skill set.</li><li><b>Cutting-edge Tech: </b>Engage with the latest technologies and tools in the data integration landscape.</li></ul><p>If you&rsquo;re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let&rsquo;s shape the future together.</p><p>Pay: From $130,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul><p>Work Location: Hybrid remote in Washington, DC 20229</p>

Data Engineer

Openkyber

<div><b>Full Stack Data Scientist Washington DC Key Responsibilities Required Qualifications:</b>
<p>Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production.</p>
<p>Strong experience in statistical modeling, machine learning, AI, and applied analytics.</p>
<p>Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ).</p>
<p>Experience writing production-ready, maintainable code and application design.</p>
<p>Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift).</p>
<p>Experience with model deployment and MLOps practices</p>
<p>Strong problem-solving and communication skills.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

MLOps

Streamline Defense

<div><div><div><b>TITLE:</b> Data Scientist - Senior</div>
<div><b>LOCATION:</b> DIA HQ, Joint Base Anacostia-Bolling, Washington, D.C.</div>
<div></div>
<div><b>OVERVIEW</b></div>
<div></div>
<div>Streamline Defense is seeking an exceptionally qualified candidate to serve as a Data Scientist at the Senior level in support of a Defense Intelligence Agency (DIA) mission at DIA Headquarters on Joint Base Anacostia-Bolling in Washington, D.C.</div>
<div></div>
<div><b>REQUIREMENTS</b></div>
<ul><li>5+ years of experience using data science programming languages, such as Python or R</li>
<li>Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage</li>
<li>Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket</li>
<li>Knowledge of statistical analysis, predictive modeling, and machine learning methods</li>
<li>Ability to design and develop automated analytic software, techniques, and algorithms</li>
<li>Ability to develop solutions, integrate, and extend free and open-source software (FOSS) or COTS products</li>
<li>Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI</li>
<li>TS/SCI clearance and willingness to submit to a CI Polygraph</li>
<li>Bachelor's degree and 8+ years of experience in data science, or 12+ years of experience in data science in lieu of a degree</li>
</ul>
<div></div><div><b>PREFERRED QUALIFICATIONS</b></div>
<ul><li>Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines</li>
<li>Experience with intelligence or operations analysis in the DoD or Intelligence Community</li>
<li>Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL</li>
<li>Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)</li>
<li>Experience with visualization packages, including Plotly, Seaborn, or ggplot2</li>
<li>Knowledge of DevOps, including CI/CD pipelines and Jenkins</li>
<li>TS/SCI clearance with a polygraph</li>
</ul></div><p></p><div><h2 class="jobSectionHeader"><b>ABOUT STREAMLINE</b></h2>
<p>
Streamline Defense is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering professional and technical solutions across the Defense and Intelligence Enterprise. Our analysts, engineers, and cleared professionals support customers spanning the IC, U.S. Combatant Commands, and Military Services, contributing to some of the nation's most critical missions.</p>
<p>
At Streamline, we foster a high-performance culture where driven professionals can grow, innovate, and make an impact. We provide an entrepreneurial environment where initiative is valued, expertise is rewarded, and contributions directly shape mission success. We offer competitive compensation, full benefits including health, dental, and vision, a 401k, and the kind of environment where your contributions are visible and your growth is real. This is the place to build your career if you are looking for meaningful work, top-tier colleagues, and the opportunity to make a real impact.</p>
<p></p>
<h2 class="jobSectionHeader"><b>EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT</b></h2>
<p>
Streamline is an equal-opportunity employer and is committed to hiring and retaining a diverse workforce. We recruit, hire, and promote based on qualifications, merit, and mission requirements, ensuring fair treatment for all employees and applicants. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.</p></div></div><p></p>

Data Scientist - Senior

Protagonist

<div><div><h2 class="jobSectionHeader"><b>Join Our Talented Team at Protagonist</b></h2>
<p>
We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics&reg;. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter.</p>
<h2 class="jobSectionHeader"><b>
Why Us?</b></h2>
<p>
Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter.</p>
<h2 class="jobSectionHeader"><b>
What We Do</b></h2>
<ul><li><b>Innovative Solutions:</b> We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.</li>
<li><b>Data-Driven Insights:</b> Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.</li>
<li><b>Applied Expertise:</b> We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.</li>
</ul><h2 class="jobSectionHeader"><b>Be Part of Something Bigger</b></h2>
<p>
At Protagonist, you'll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you're passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.</p>
<h2 class="jobSectionHeader"><b>
Explore Your Future with Us!</b></h2>
<p>
Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.</p></div><p>
Washington, DC | This is a temporary position with an initial period of 90 days. Successful performance during this period may lead to a permanent role | Hybrid</p>
<h2 class="jobSectionHeader"><b>
Job Description</b></h2>
<p><b>
*Note that this a temporary subcontract position-outstanding performance may lead to full-time consideration; We are also recruiting for a full-time Senior Applied Data Scientist based in Washington, DC&mdash;please visit our careers page for details and to apply*</b></p>
<p>
You are a data science professional with a passion for applying best-in-class data science methodologies to solve real-world challenges. With extensive experience in designing, building, and deploying sophisticated data solutions, you excel at transforming raw, unstructured data into structured analytical products that inform decision-making. You lead internal data efforts&mdash;from rigorous data cleaning to impactful data visualizations&mdash;and effectively present data findings to clients. You are an analyst at heart, possessing the curiosity and acumen to know when to ask the right questions of data and what questions will drive meaningful insights. You understand that the most powerful analytical work bridges computational methods with deep understanding of the social, political, and information dynamics that generate the data in the first place.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li><b>Applied Data Science &amp; Solution Implementation:</b>
<ul><li>Design, develop, and deploy scalable, production-ready data science solutions that align with business and project goals.</li>
<li>Leverage AI, machine learning, and advanced statistical techniques to extract insights from complex, large-scale, or unstructured datasets.</li>
<li>Apply techniques such as classification models, clustering algorithms, and other AI methods to drive discovery and inform decision-making.</li>
<li>Design and implement codebook-driven analytical frameworks that translate qualitative research questions into reproducible computational workflows.</li>
<li>Build and iterate on applied models tailored to project and client needs.</li>
<li>Translate analytical findings into actionable recommendations, delivering measurable impact for both internal and external stakeholders.</li>
<li>Provide direct support to the Engineering team as needed to implement solutions.</li>
</ul></li><li><b>Applied AI &amp; Automated Workflows:</b>
<ul><li>Design and refine prompts, LLM chains, and agentic AI workflows that automate analytical tasks such as content classification, thematic coding, entity extraction, and structured summarization at scale.</li>
<li>Build and evaluate automated analytical products and pipelines that integrate large language models into repeatable, production-grade workflows with appropriate quality controls.</li>
<li>Experiment with emerging AI techniques&mdash;including retrieval-augmented generation (RAG), multi-step reasoning chains, and tool-using agents&mdash;to extend the company's analytical capabilities and accelerate delivery.</li>
</ul></li><li><b>Data Preparation, Cleaning &amp; Visualization:</b>
<ul><li>Write and maintain efficient, reproducible data pipelines using Python, R, SQL, or similar tools.</li>
<li>Perform complex data cleaning, transformation, and wrangling to ensure high-quality analytical output.</li>
<li>Create compelling dashboards and visualizations using Tableau, Superset, or other tools to communicate insights to both clients and internal teams.</li>
</ul></li><li><b>Analytical Framework Design &amp; Research:</b>
<ul><li>Contribute to the design, refinement, and validation of analytical frameworks that structure how the company assesses complex information environments.</li>
<li>Bridge social science theory and computational practice, ensuring that analytical products are methodologically sound and defensible.</li>
</ul></li><li><b>Cross-Team Collaboration, Client Engagement &amp; Business Development:</b>
<ul><li>Collaborate with engineering and product teams to build integrated analytical solutions supporting the company's Narrative Analytics approach.</li>
<li>Partner closely with engineering to translate data science requirements into scalable, production-ready tools and pipelines.</li>
<li>Contribute to data architecture decisions, tool selection, and infrastructure development to ensure alignment between analytics and engineering capabilities.</li>
<li>Present data findings to clients with clear communication and actionable recommendations.</li>
<li>Contribute to business development efforts requiring data science expertise, including writing technical sections of proposals, white papers, and concept notes.</li>
</ul></li><li><b>Leadership &amp; Internal Data Initiatives:</b>
<ul><li>Lead improvements to internal data science workflows, methodologies, and quality assurance processes.</li>
<li>Mentor junior team members and interns, promote technical upskilling, and foster open discussion of best practices and emerging techniques in NLP, ML, and computational social science.</li>
<li>Contribute to the development and maintenance of shared analytical assets such as codebooks, scoring frameworks, and model evaluation protocols.</li>
</ul></li><li><b>Collaboration &amp; Professional Conduct:</b>
<ul><li>Demonstrate ownership, professionalism, and timely follow-through in all responsibilities and communications.</li>
<li>Thrive in a fast-paced, dynamic environment by adapting to shifting priorities and proactively identifying opportunities to improve processes and analytic contributions.</li>
<li>Communicate technical insights clearly and translate complex data science needs into actionable guidance for both technical and cross-functional teams.</li>
<li>Foster collaboration across teams with openness to feedback, respect for diverse expertise, and a commitment to continuous learning.</li>
</ul></li></ul><h2 class="jobSectionHeader"><b>Requirements</b></h2>
<ul><li><b>Eligibility &amp; Security:</b>
<ul><li>Must be eligible to work on US Government contracts.</li>
<li>Existing security clearance (SECRET or higher) is a plus.</li>
<li>Bachelor's or advanced degree (master's or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, Computational Social Science, or a related field.</li>
<li>Experience requirements: Bachelor's degree and 5+ years of relevant experience (or advanced degree and 3+ years of experience).</li>
</ul></li><li><b>Professional Experience:</b>
<ul><li>2+ years of proven experience in data science, with a strong track record of driving significant business impact through applied analytics.</li>
<li>Demonstrated experience working with text-as-data, including media, social media, or open-source text corpora.</li>
</ul></li><li><b>Technical Expertise:</b>
<ul><li>Proficiency in Python and/or R for data analysis, modeling, and machine learning.</li>
<li>Strong SQL skills for data extraction, transformation, and integrity assurance.</li>
<li>Experience with NLP techniques including text classification, topic modeling, sentiment analysis, embedding-based methods, and transformer architectures.</li>
<li>Experience with statistical and predictive modeling techniques such as support vector machines, random forests, and classification models.</li>
<li>Demonstrated familiarity with the application and use of large language models (LLMs), including prompt engineering, structured output design, and integrating language models into applied analytical workflows.</li>
<li>Familiarity with modern data tools and data lake architectures supporting scalable, data-driven solutions.</li>
<li>Skilled in building insightful visualizations using tools like Tableau, Superset, Power BI, or Looker.</li>
</ul></li><li><b>Interpersonal Skills:</b>
<ul><li>Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.</li>
<li>Effective working both independently and in cross-functional teams, with a collaborative and solution-oriented mindset.</li>
</ul></li></ul><h2 class="jobSectionHeader"><b>Ideal Candidates</b></h2>
<p>
The strongest candidates will bring experience designing or implementing structured content analysis frameworks or structured analytical methodologies for text data, along with familiarity with information environment assessment, strategic communication analysis, or media landscape monitoring. They will have built ML pipelines that include human-in-the-loop validation, analyst review steps, or active learning workflows, and will have exposure to computational social science research methods such as causal inference, network analysis, or computational text analysis beyond keyword search&mdash;including techniques like stance detection, narrative framing, and document similarity. Experience designing LLM chains, agentic AI systems, or automated analytical products that move beyond one-off prompting into repeatable, quality-controlled workflows is highly valued. Above all, ideal candidates will have a track record of translating social science research questions into scalable computational approaches.</p>
<h2 class="jobSectionHeader"><b>
Additional Information</b></h2>
<p>
If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.</p>
<p>
Protagonist is an Equal Opportunity Employer.</p>
<p>
Salary Range: This is an hourly based short-term contracted position; hourly rate commensurate with education and level of relevant experience.</p>
<p>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p></div><p></p>

Senior Applied Data Scientist (1099)

<div><div><h2 class="jobSectionHeader"><b>Join Our Talented Team at Protagonist</b></h2>
<p>
We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics&reg;. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter.</p>
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Why Us?</b></h2>
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Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter.</p>
<h2 class="jobSectionHeader"><b>
What We Do</b></h2>
<ul><li><b>Innovative Solutions:</b> We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.</li>
<li><b>Data-Driven Insights:</b> Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.</li>
<li><b>Applied Expertise:</b> We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.</li>
</ul><h2 class="jobSectionHeader"><b>Be Part of Something Bigger</b></h2>
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At Protagonist, you'll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you're passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.</p>
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Explore Your Future with Us!</b></h2>
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Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.</p></div><p>
Washington, DC | Full-Time | Hybrid</p>
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Job Description</b></h2>
<p>
You are a data science professional with a passion for applying best-in-class data science methodologies to solve real-world challenges. With extensive experience in designing, building, and deploying sophisticated data solutions, you excel at transforming raw, unstructured data into structured analytical products that inform decision-making. You lead internal data efforts&mdash;from rigorous data cleaning to impactful data visualizations&mdash;and effectively present data findings to clients. You are an analyst at heart, possessing the curiosity and acumen to know when to ask the right questions of data and what questions will drive meaningful insights. You understand that the most powerful analytical work bridges computational methods with deep understanding of the social, political, and information dynamics that generate the data in the first place.</p>
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Responsibilities</b></h2>
<ul><li><b>Applied Data Science &amp; Solution Implementation:</b>
<ul><li>Design, develop, and deploy scalable, production-ready data science solutions that align with business and project goals.</li>
<li>Leverage AI, machine learning, and advanced statistical techniques to extract insights from complex, large-scale, or unstructured datasets.</li>
<li>Apply techniques such as classification models, clustering algorithms, and other AI methods to drive discovery and inform decision-making.</li>
<li>Design and implement codebook-driven analytical frameworks that translate qualitative research questions into reproducible computational workflows.</li>
<li>Build and iterate on applied models tailored to project and client needs.</li>
<li>Translate analytical findings into actionable recommendations, delivering measurable impact for both internal and external stakeholders.</li>
<li>Provide direct support to the Engineering team as needed to implement solutions.</li>
</ul></li><li><b>Applied AI &amp; Automated Workflows:</b>
<ul><li>Design and refine prompts, LLM chains, and agentic AI workflows that automate analytical tasks such as content classification, thematic coding, entity extraction, and structured summarization at scale.</li>
<li>Build and evaluate automated analytical products and pipelines that integrate large language models into repeatable, production-grade workflows with appropriate quality controls.</li>
<li>Experiment with emerging AI techniques&mdash;including retrieval-augmented generation (RAG), multi-step reasoning chains, and tool-using agents&mdash;to extend the company's analytical capabilities and accelerate delivery.</li>
</ul></li><li><b>Data Preparation, Cleaning &amp; Visualization:</b>
<ul><li>Write and maintain efficient, reproducible data pipelines using Python, R, SQL, or similar tools.</li>
<li>Perform complex data cleaning, transformation, and wrangling to ensure high-quality analytical output.</li>
<li>Create compelling dashboards and visualizations using Tableau, Superset, or other tools to communicate insights to both clients and internal teams.</li>
</ul></li><li><b>Analytical Framework Design &amp; Research:</b>
<ul><li>Contribute to the design, refinement, and validation of analytical frameworks that structure how the company assesses complex information environments.</li>
<li>Bridge social science theory and computational practice, ensuring that analytical products are methodologically sound and defensible.</li>
</ul></li><li><b>Cross-Team Collaboration, Client Engagement &amp; Business Development:</b>
<ul><li>Collaborate with engineering and product teams to build integrated analytical solutions supporting the company's Narrative Analytics approach.</li>
<li>Partner closely with engineering to translate data science requirements into scalable, production-ready tools and pipelines.</li>
<li>Contribute to data architecture decisions, tool selection, and infrastructure development to ensure alignment between analytics and engineering capabilities.</li>
<li>Present data findings to clients with clear communication and actionable recommendations.</li>
<li>Contribute to business development efforts requiring data science expertise, including writing technical sections of proposals, white papers, and concept notes.</li>
</ul></li><li><b>Leadership &amp; Internal Data Initiatives:</b>
<ul><li>Lead improvements to internal data science workflows, methodologies, and quality assurance processes.</li>
<li>Mentor junior team members and interns, promote technical upskilling, and foster open discussion of best practices and emerging techniques in NLP, ML, and computational social science.</li>
<li>Contribute to the development and maintenance of shared analytical assets such as codebooks, scoring frameworks, and model evaluation protocols.</li>
</ul></li><li><b>Collaboration &amp; Professional Conduct:</b>
<ul><li>Demonstrate ownership, professionalism, and timely follow-through in all responsibilities and communications.</li>
<li>Thrive in a fast-paced, dynamic environment by adapting to shifting priorities and proactively identifying opportunities to improve processes and analytic contributions.</li>
<li>Communicate technical insights clearly and translate complex data science needs into actionable guidance for both technical and cross-functional teams.</li>
<li>Foster collaboration across teams with openness to feedback, respect for diverse expertise, and a commitment to continuous learning.</li>
</ul></li></ul><h2 class="jobSectionHeader"><b>Requirements</b></h2>
<ul><li><b>Eligibility &amp; Security:</b>
<ul><li>Must be eligible to work on US Government contracts.</li>
<li>Existing security clearance (SECRET or higher) is a plus.</li>
<li>Bachelor's or advanced degree (master's or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, Computational Social Science, or a related field.</li>
<li>Experience requirements: Bachelor's degree and 5+ years of relevant experience (or advanced degree and 3+ years of experience).</li>
</ul></li><li><b>Professional Experience:</b>
<ul><li>2+ years of proven experience in data science, with a strong track record of driving significant business impact through applied analytics.</li>
<li>Demonstrated experience working with text-as-data, including media, social media, or open-source text corpora.</li>
</ul></li><li><b>Technical Expertise:</b>
<ul><li>Proficiency in Python and/or R for data analysis, modeling, and machine learning.</li>
<li>Strong SQL skills for data extraction, transformation, and integrity assurance.</li>
<li>Experience with NLP techniques including text classification, topic modeling, sentiment analysis, embedding-based methods, and transformer architectures.</li>
<li>Experience with statistical and predictive modeling techniques such as support vector machines, random forests, and classification models.</li>
<li>Demonstrated familiarity with the application and use of large language models (LLMs), including prompt engineering, structured output design, and integrating language models into applied analytical workflows.</li>
<li>Familiarity with modern data tools and data lake architectures supporting scalable, data-driven solutions.</li>
<li>Skilled in building insightful visualizations using tools like Tableau, Superset, Power BI, or Looker.</li>
</ul></li><li><b>Interpersonal Skills:</b>
<ul><li>Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.</li>
<li>Effective working both independently and in cross-functional teams, with a collaborative and solution-oriented mindset.</li>
</ul></li></ul><h2 class="jobSectionHeader"><b>Ideal Candidates</b></h2>
<p>
The strongest candidates will bring experience designing or implementing structured content analysis frameworks or structured analytical methodologies for text data, along with familiarity with information environment assessment, strategic communication analysis, or media landscape monitoring. They will have built ML pipelines that include human-in-the-loop validation, analyst review steps, or active learning workflows, and will have exposure to computational social science research methods such as causal inference, network analysis, or computational text analysis beyond keyword search&mdash;including techniques like stance detection, narrative framing, and document similarity. Experience designing LLM chains, agentic AI systems, or automated analytical products that move beyond one-off prompting into repeatable, quality-controlled workflows is highly valued. Above all, ideal candidates will have a track record of translating social science research questions into scalable computational approaches.</p>
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Additional Information</b></h2>
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If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.</p>
<p>
Protagonist is an Equal Opportunity Employer.</p>
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Salary Range: $82,216-$129,885 based on education and level of relevant experience.</p>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p></div><p></p>

Senior Applied Data Scientist

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