Data Scientist, Developer Productivity (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist, Developer Productivity (AI): Driving data-informed decision making to improve engineering effectiveness and AI-augmented development workflows with an accent on measurement frameworks and causal inference. Focus on quantifying developer bottlenecks, optimizing infrastructure priorities, and analyzing the impact of AI-assisted development.
Location: Hybrid; must be based in San Francisco, CA or New York City, NY (office presence required at least 25% of the time)
Salary: $275,000 - $370,000 USD
Company
is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.
What you will do
- Define key metrics and build measurement frameworks to evaluate developer productivity and engineering effectiveness.
- Apply rigorous causal inference methods and controlled experiments to derive actionable insights.
- Build statistical models, optimization frameworks, and simulations to automate operational decision-making.
- Investigate anomalies and conduct root cause analyses to guide infrastructure priorities and tooling roadmaps.
- Scale analytics infrastructure to support rapid iteration as AI products grow.
- Present complex analyses and recommendations to both technical and non-technical stakeholders.
Requirements
- Working expertise with Python and SQL.
- Proficiency with data visualization tools.
- Hands-on experience with experimental design, A/B testing, and statistical modeling.
- Strong written communication and presentation skills.
- Must be based in or be able to work from the San Francisco or New York City offices.
Nice to have
- 7+ years of experience in data science or analytics roles.
- Experience with AI/ML products, large language models (LLMs), or developer tools in the AI ecosystem.
- Deep understanding of distributed systems, cloud infrastructure, and performance engineering.
- Experience working in rapidly scaling environments.
Culture & Benefits
- Competitive compensation with optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours and high-quality collaborative office spaces.
- Collaborative "big science" research culture focused on high-impact, long-term AI safety goals.
- Visa sponsorship availability for eligible candidates.
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