Data Scientist

We are looking for a data science contractor who will support R&D efforts to prototype Priorities USA’s next generation of digital intelligence tools in addition to experimentation on new data methods to be applied to digital campaigns. This role will sit at the intersection of data science and software engineering, requiring a strong intuition for understanding and applying data & statistical methods as well as the ability to maintain rigorous shared software development standards within a team.

This person will be involved with prototyping, evaluating, and implementing methods and features geared at helping digital media practitioners run more efficient and effective campaigns. The role is ideal for someone with a strong foundation in data science, who is excited by innovation, and is eager to apply those skills in service of progressive causes. The contractor will work directly with the Senior Director of R&D.

This is a remote engagement. Contractors must be based in the United States and will provide their own equipment. We expect availability for regular check-ins during Eastern Time business hours.

Scope of Work

• Explore, prototype, and validate new analytical methods and LLM applications across a range of political, media, and advertising data contexts.
• Build proof-of-concept tools, features, and datasets, and iterate on them based on feedback from digital practitioners.
• Engineer validated methods into modular, sturdy, well-documented pipelines and applications that are ready to graduate into production systems.
• Develop software primarily through agentic development workflows, producing well-specified, reviewable, tested, and documented code.
• Think critically about what data is saying and communicate findings, tradeoffs, and recommendations clearly to technical and non-technical audiences., 95K-168K Annually Entry level 95K-168K Annually Entry level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Develop data tools, AI automations, ETL pipelines, dashboards, and machine learning models for payments. Analyze experiments, optimize payment performance and costs, mitigate risk, maintain data systems and cloud infrastructure, and translate business needs into actionable solutions while partnering with Product, Engineering, Finance, and Operations. Top Skills: AICloud Data InfrastructureDashboardsData SystemsETLMachine LearningPythonSQL Superhuman

Data Scientist

Yesterday Remote or Hybrid 202K-275K Annually Senior level 202K-275K Annually Senior level Artificial Intelligence * Information Technology * Machine Learning * Natural Language Processing * Productivity * Software * Generative AI Embedded Data Scientist for Superhuman Mail, partnering with product, growth, engineering, and design teams to guide roadmap decisions. Responsibilities include defining product metrics, designing experiments, applying causal inference and machine learning, measuring AI feature quality, analyzing activation and retention, identifying growth and conversion drivers, and communicating insights to stakeholders. The role requires strong Python, SQL, experimentation, statistics, and cross-functional influence skills. Top Skills: A/B TestingCausal InferenceClaude CodeCodexDatabricksMachine LearningPythonSQLStatsig Rula

• Strong programming skills in SQL and Python.
• Demonstrated ability to apply statistical and data science methods in real-world contexts.
• Strong software engineering habits (version control, code review, testing, documentation).
• Hands-on experience applying LLMs in real projects - e.g., prompt and context engineering, classification or extraction pipelines, evaluation of model outputs, or agentic frameworks.
• Experience working with agentic software development tools (e.g., Cursor, Claude Code, Codex).
• Experience working with GCP (and preferably AWS), including building and maintaining data pipelines.
• Experience using git + GitHub
• Familiarity with cybersecurity best practices
• Strong communication skills and the ability to collaborate across teams with different working styles and levels of technical experience.
• Demonstrated curiosity and self-directed exploration through side projects, prototypes, experiments, or other evidence that you build and try things on your own initiative.
• Experience communicating with diverse groups, working in a multicultural workforce, and bringing a sensitivity and appreciation of cultural differences, * Experience working with digital advertising, media performance, social listening, or media consumption data.
• Experience working with political, advocacy, or campaign data such as voter files.
• Experience with containerization and orchestration.
• Experience developing front-end applications or dashboards.
• Experience building evaluation frameworks or benchmarks for LLM or ML systems.

Remote Hiring Remotely in United States 125-175 Hourly Entry level Remote Hiring Remotely in United States 125-175 Hourly Entry level Prototype and validate analytical methods and LLM applications for political, media, and advertising data. Build proof-of-concept tools, datasets, pipelines, and applications, then engineer validated methods toward production. Apply statistical and data science techniques, maintain rigorous software development practices, communicate findings clearly, and collaborate with technical and non-technical stakeholders. The summary above was generated by AI

About Priorities USA

Priorities USA runs effective, large-scale, digital voter mobilization and persuasion campaigns in key battleground states. We invest in cutting-edge research and data. We build training and tools to grow our collective, progressive power. In partnership with movement allies, we employ innovative digital strategies and empower voters., Compensation for this engagement is $125-175 per hour, commensurate with experience., Remote United States 192K-228K Annually Senior level 192K-228K Annually Senior level Healthtech * Social Impact * Software * Telehealth Own product analytics for a healthcare platform by translating business questions into research plans, uncovering insights, modeling feature impacts, defining success criteria, and leading A/B testing. Partner with Product, Data Engineering, Finance, Clinical, and Operations teams to influence roadmap decisions, improve provider experience and quality, and optimize marketplace performance. Top Skills: A/B TestingAirflowDbtHexLookerPythonRTableau

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