Data Scientist, Policy (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist, Policy (AI): Transforming product usage and survey data into evidence to inform policy positions and demonstrate company relevance to policymakers with an accent on causal inference and public data analysis. Focus on designing measurement frameworks for policy impact, building consistent data pipelines, and translating complex data into actionable recommendations for legislators.
Location: Hybrid (New York City, San Francisco, or Washington, DC). Must be based in the US and attend the office at least 25% of the time.
Salary: $275,000 - $370,000 USD
Company
is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.
What you will do
- Partner with product and business teams to produce data collateral for policy position papers and partnerships.
- Define and determine metrics that faithfully represent the company to regulators and the public.
- Own dashboards and pipelines to ensure consistency in externally shared data.
- Utilize AI tools to aggregate news and public data to track evolving regulatory trends.
- Develop measurement frameworks for policy communications and public-affairs campaigns.
- Design and implement analyses to measure the impact of policy implementation for external audiences.
Requirements
- Proficiency in Python, SQL, and data analysis tools.
- Experience working with external and public data sources.
- Applied expertise in causal inference using quasi-experimental designs (e.g., diff-in-diff, synthetic control).
- Ability to translate complex technical analyses into clear recommendations for non-technical audiences.
- Hybrid presence: Required to be in one of the company offices at least 25% of the time.
Nice to have
- 6+ years of hands-on data science experience.
- Direct experience supporting policy, government affairs, or regulatory teams.
- Familiarity with investor-relations or financial-disclosure data standards.
- Ability to thrive in ambiguous, fast-moving environments.
Culture & Benefits
- Competitive compensation with optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours and collaborative office spaces.
- Collaborative "big science" research culture focused on high-impact goals.
- Visa sponsorship availability for eligible candidates.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →