Develop economic models to anticipate novel systemic risks from advanced AI systems.
Build scenarios for potential economic disruptions from rapid AI advancement.
Analyze potential concentration of power dynamics across markets and regions.
CARMA helps society navigate the complex risks arising from increasingly powerful AI systems. They lower the risks to humanity and the biosphere from transformative AI through rigorous analysis, policy frameworks, technical safety approaches, and fostering global perspectives.
Analyze trends, cost drivers, risks, and opportunities across Sana’s health plans and care model using revenue, pricing, claims, eligibility, clinical, product, and other operational data.
Evaluate the impact of various care programs, benefit designs, and operational initiatives on cost, utilization, and member experience; partner with stakeholders across Revenue, Finance, Care Team, Operations, and Product.
Build and maintain dashboards and recurring reports; write production-quality SQL and analytical code; ensure metrics are accurate and aligned with shared definitions; communicate findings clearly.
Sana is a health plan solution built for small and midsize businesses. Sana is designed around its integrated primary care service, Sana Care, ensuring members can easily access high-quality, affordable care while employers and brokers have the tools they need to manage company benefits with confidence. Sana has a fully distributed team across the U.S. and values curiosity, ownership, and speed — and they build in the open, together.
Provide data analysis reports for submissions from various states.
Develop reports in Tableau Desktop across multiple divisions.
Create documentation and presentations for stakeholders.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Design, build, and maintain data models in our cloud data warehouse using dbt.
Own the transformation layer from raw and staged data to curated marts.
Promote and exemplify development standards and data quality for analytics engineering work.
Maven Clinic is the world's largest virtual clinic for women and families, dedicated to making healthcare accessible for everyone. With over $425 million in funding, they offer clinical, emotional, and financial support through their digital programs.
Derive facts from data and translate them into actionable insights and recommendations.
Support the business with identifying opportunities and making intelligent, data-driven decisions.
Create, automate and visualize reports and analysis for both top management and local teams.
Docplanner aims to make healthcare more human by empowering patients and providing doctors with technology to manage bookings. They are a global company with over 2,500 employees and maintain a startup-mindset culture.
Cleans, preprocesses, and analyzes datasets using statistical methods.
Develops scripts in R or Python, generating visualizations.
Summarizes results in reports or presentations.
Emory University is a leading research university fostering excellence and attracting world-class talent. They are committed to ensuring equal access and providing reasonable accommodations to qualified individuals.
Own end-to-end analytics workflow, including defining success and creating dashboards. Lead cross-functional weekly metric reviews. Proactively explore data and find opportunities to improve user engagement and growth.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
This role will see you: Coaching a team of embedded data scientists to deliver insights and strategic clarity. Owning key metrics for onboarding, personalisation, and lifecycle journeys Using data to guide decisions. Translating data into actionable recommendations — and setting the standard for high-impact analysis and storytelling.
Applies statistical rigor and advanced analytical techniques to extract value from our product and business data. Requires a strong understanding of product usage to provide actionable insights that drive business strategy and feature development. Translates complex data into clear business recommendations and works closely with Product Managers, Executive Leaders, and Engineering teams.
At Docker, we make app development easier so developers can focus on what matters.