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Data Scientist
Priorities USA. Explore, prototype, and validate analytical methods and LLM applications across political, media, and advertising data contexts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong programming skills in SQL and Python, with hands-on experience applying LLMs and statistical methods in real-world contexts. Proficient in software engineering practices, including version control and documentation, while effectively communicating findings to diverse audiences.
Highest-signal resume keywords
SQL ProgrammingPython ProgrammingLLM Application DevelopmentData Pipeline EngineeringSoftware Engineering Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsData Science MethodsVersion ControlCode ReviewTestingDocumentationPrompt EngineeringModel-Output EvaluationContainerizationOrchestration
Soft Skills
Strong CommunicationCross-Team CollaborationCuriosityCultural SensitivitySelf-Directed Exploration
Tools & Technologies
GCPAWSGitGitHubCursorClaude CodeCodex
Industry Keywords
Digital AdvertisingMedia PerformanceSocial ListeningPolitical DataCampaign DataVoter-File Data
Tech Stack
Tools & technologiesAWSCyber SecurityGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Explore, prototype, and validate analytical methods and LLM applications across political, media, and advertising data contexts
- Build proof-of-concept tools, features, and datasets
- Iterate on tools and datasets based on feedback from digital practitioners
- Engineer validated methods into modular, sturdy, well-documented pipelines and applications ready for production systems
- Develop software through agentic development workflows, producing well-specified, reviewable, tested, and documented code
- Analyze data critically and communicate findings, tradeoffs, and recommendations to technical and non-technical audiences
- Work directly with the Senior Director of R&D
- Support R&D efforts to prototype next-generation digital intelligence tools and experiment with data methods for digital campaigns
Requirements
What you’ll need- Strong programming skills in SQL and Python
- Demonstrated ability to apply statistical and data science methods in real-world contexts
- Strong software engineering habits, including version control, code review, testing, and documentation
- Hands-on experience applying LLMs in real projects, including prompt and context engineering, classification or extraction pipelines, model-output evaluation, or agentic frameworks
- Experience with agentic software development tools such as Cursor, Claude Code, or Codex
- Experience with GCP and preferably AWS, including building and maintaining data pipelines
- Experience using Git and GitHub
- Familiarity with cybersecurity best practices
- Strong communication and cross-team collaboration skills
- Demonstrated curiosity and self-directed exploration through side projects, prototypes, experiments, or similar evidence
- Experience communicating with diverse groups and working in a multicultural workforce
- Sensitivity to and appreciation of cultural differences
- Contractors must be based in the United States
- Availability for regular check-ins during Eastern Time business hours
- Application must include a resume and a GitHub profile link or relevant work samples
- Preferred: experience with digital advertising, media performance, social listening, or media consumption data
- Preferred: experience with political, advocacy, campaign, or voter-file data
- Preferred: experience with containerization and orchestration
- Preferred: experience developing front-end applications or dashboards
- Preferred: experience building evaluation frameworks or benchmarks for LLM or ML systems
Benefits
Comp & perks- Compensation of $125–175 per hour
- Compensated take-home exercise for selected candidates
- Remote engagement
- Contractor provides own equipment