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data scientist

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Demonstrated proficiency in related technical, statistical, and mathematical skills
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

Data Scientist

Streamline Defense

<div><div><div>TITLE: Data Scientist - Senior</div>
<div>LOCATION: DIA HQ, Joint Base Anacostia-Bolling, Washington, D.C.</div>
<div></div>
<div>OVERVIEW</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>REQUIREMENTS</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>PREFERRED QUALIFICATIONS</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><div><h2 class="jobSectionHeader">ABOUT STREAMLINE</h2>

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.

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.

<h2 class="jobSectionHeader">EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT</h2>

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.</div></div>

Data Scientist - Senior

U.S. Securities and Exchange Commission

DATA SCIENTIST (AI)

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
At Aetna&reg;, part of CVS Health, we proudly serve more than 26 million medical members through our broad range of health plan offerings. We're committed to delivering a simpler, more meaningful, and personal health care experience to each of them.
As a Senior Data Scientist you will be working on a Medicare Analytics team that will help make business decisions and, you will play a critical role in supporting our Aetna members and our business.
Come work at a place where innovation is encouraged and impact is real. You&rsquo;ll have the opportunity to build models, experiment with creative ideas, and introduce new approaches to solving complex Member Experience challenges and making a direct difference in our members lives.
Responsibilities:<ul><li>
Model Development: Develop and implement advanced machine learning models for forecasting and predictive analytics. As a key member of our team, you will be responsible for developing and standardizing forecasting applications using time series techniques to provide forward-looking insights to our members, to improve Member experience</li><li>
ML-Ops: Develop, deploy and maintain machine learning models in production, ensuring robust and scalable solutions.</li><li>
Collaboration: Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and deliver data-driven solutions.</li><li>
Innovation: Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve existing processes and models.</li><li>
Reporting: Create and present detailed reports and visualizations to communicate findings and recommendations to stakeholders.</li><li>
Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets</li><li>
Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li></ul> 
Required Qualifications<ul><li>
3+ years of relevant Data Science experience</li><li>
3+ years' experience programming in Python</li><li>
3+ years' experience programming in SQL</li><li>
2+ year experience working with Cloud Technology (GCP, AWS or Azure)</li><li>
1+ year experience deploying models in production</li></ul> 
Preferred Qualifications<ul><li>
Experience in Google Cloud/BigQuery</li><li>
2 plus years of healthcare or health insurance experience</li><li>
Strong problem-solving experience with a history of making business impact</li><li>
Knowledge of Time Series forecasting techniques, and Machine learning methods including classics like SARIMA, exponential smoothing, time series regressions, and machine learning methods like LSTM, XGBoost, etc</li></ul> 
Education<ul><li>
Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline.</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 04/07/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Data Scientist

Scribd, Inc.

<div>
 Scribd, Inc. is on a mission to advance human understanding. Our four products &mdash; Scribd&reg;, Slideshare&reg;, Everand&trade;, and Fable &mdash; help billions of people across the globe move beyond access and into insight, application, and expertise.
 
 
 
 Culture at Scribd, Inc.
 
 
 
 We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
 
 
 We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.
 
 
 So what are we looking for in new team members? At Scribd, Inc., we hire for &ldquo;GRIT.&rdquo; Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.
 
 
 This posting reflects an approved, open position within the organization.
 
 
 
 About The Team
 
 
 
 The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business.
 
 
 We act as a key driver for innovation, whether it&rsquo;s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design solutions and collaborate in cross-functional squads to maximize business impact.
 
 
 Our areas of impact include content enrichment, representation learning, recommendations, search, translation and many others, applied to diverse media across text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of users and billions of user interactions.
 
 
 
 Role Overview
 
 
 
 We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Focus on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated LLMs and generative models
 </li>
 <li>
 Investigate methods of solving our most challenging problems at Scribd, at scale
 </li>
 <li>
 Collaborate with other Data Scientists, Machine Learning Engineers and ML Data Engineers on cross-functional projects
 </li>
 <li>
 Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs
 </li>
 <li>
 Process massive amounts of data with Python, SQL and Spark
 </li>
 <li>
 Align with stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments.
 </li>
 <li>
 Proficiency in Python.
 </li>
 <li>
 Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
 </li>
 <li>
 Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models.
 </li>
 <li>
 Intermediate level or greater experience with SQL or PySpark.
 </li>
 <li>
 Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus.
 
 
 </li>
 </ul>
 At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $118,000 [minimum salary in our lowest geographic market within California] to $184,000 [maximum salary in our highest geographic market within California].
 
 
 In the United States, outside of California, the reasonably expected salary range is between $97,000 [minimum salary in our lowest US geographic market outside of California] to $175,000 [maximum salary in our highest US geographic market outside of California].
 
 
 In Canada, the reasonably expected salary range is between $123,000 CAD[minimum salary in our lowest geographic market] to $164,000 CAD[maximum salary in our highest geographic market].
 
 
 We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
 
 
 
 Working at Scribd, Inc.
 
 
 
 
 Are you currently based in a location where Scribd, Inc. can employ you?
 
 
 
 Employees must have their
 
 primary residence in or near
 
 one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
 
 
 
 United States
 
 
 
 Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.
 
 
 
 Canada
 
 
 
 Ottawa | Toronto | Vancouver
 
 
 
 Mexico
 
 
 
 Mexico City
 
 
 
 Benefits At Scribd, Inc.
 
 
 
 <ul>
 <li>
 Scribd Flex (flexible work model)
 </li>
 <li>
 Comprehensive health, dental, and vision coverage
 </li>
 <li>
 Mental health support and disability coverage
 </li>
 <li>
 Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
 </li>
 <li>
 Paid parental leave and family support benefits
 </li>
 <li>
 Retirement matching and employee equity
 </li>
 <li>
 Learning and development programs and professional growth opportunities
 </li>
 <li>
 Wellness and home office stipends
 </li>
 <li>
 Complimentary access to the Scribd, Inc. suite of products
 </li>
 <li>
 Enterprise access to leading AI tools
 
 
 </li>
 </ul>
 
 Get to Know Scribd, Inc.
 
 
 
 
 About Scribd, Inc.
 
 
 
 
 Life at Scribd, Inc.
 
 
 
 
 We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
 
 
 
 
 Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
 
</div>

Data Scientist II

Protagonist

<div><div><h2 class="jobSectionHeader">Join Our Talented Team at Protagonist</h2>

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.
<h2 class="jobSectionHeader">
Why Us?</h2>

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.
<h2 class="jobSectionHeader">
What We Do</h2>
<ul><li>Innovative Solutions: 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>Data-Driven Insights: Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.</li>
<li>Applied Expertise: We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.</li>
</ul><h2 class="jobSectionHeader">Be Part of Something Bigger</h2>

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.
<h2 class="jobSectionHeader">
Explore Your Future with Us!</h2>

Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.</div>
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
<h2 class="jobSectionHeader">
Job Description</h2>

*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*

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.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Applied Data Science &amp; Solution Implementation:
<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>Applied AI &amp; Automated Workflows:
<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>Data Preparation, Cleaning &amp; Visualization:
<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>Analytical Framework Design &amp; Research:
<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>Cross-Team Collaboration, Client Engagement &amp; Business Development:
<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>Leadership &amp; Internal Data Initiatives:
<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>Collaboration &amp; Professional Conduct:
<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">Requirements</h2>
<ul><li>Eligibility &amp; Security:
<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>Professional Experience:
<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>Technical Expertise:
<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>Interpersonal Skills:
<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">Ideal Candidates</h2>

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.
<h2 class="jobSectionHeader">
Additional Information</h2>

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.

Protagonist is an Equal Opportunity Employer.

Salary Range: This is an hourly based short-term contracted position; hourly rate commensurate with education and level of relevant experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div>

Senior Applied Data Scientist (1099)

Explore 313+ Data scientist in Washington this April. Find roles across top companies and apply now to boost your career.

313 data scientist jobs In Washington

Data Scientist

Data Scientist

Data Scientist - Senior

DATA SCIENTIST (AI)

Senior Data Scientist

Data Scientist II

Senior Applied Data Scientist (1099)