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Tools for Humanity
Director of Data Science
over 1 year ago | 639 views | 1 applications

Director of Data Science

Full-time
San Francisco
Per year
$230,000 To $275,000

About the company

Tools for Humanity is a technology company built to ensure a more just economic system.

Job Summary

In this role, you will:

📍Build out and lead a high-performing team of data analysts, data scientists, and statisticians 📍Foster a culture of high quality work and continuous improvement 📍Define Worldcoin’s KPIs and key metrics together with other stakeholders 📍Create transparency and visibility on our most important metrics by leading the design and development of suitable dashboards and visualizations, ensuring that key company dashboards are of the highest quality 📍Collaborate closely with the Data Engineering team to collect the right data and to ensure the quality of this data in the data warehouse 📍Lead in-depth statistical analyses (including causal inference) to derive insights that drive strategic decisions for individual departments (e.g., Product and Market Operations) and the whole company 📍Advise other teams (e.g., Economic Design, Product, Market Operations, Marketing) on the optimal design of field experiments (in particular experimentation for World App and for Worldcoin’s field operations) 📍Collaborate with the Blockchain team to analyze large amounts of transactional blockchain data 📍Lead the design and implementation of robust prediction algorithms

About You:

📍PhD in economics, econometrics, operations research, or similar 📍5+ years of hands-on technical experience in a data science role as an IC 📍5+ years of management experience building and leading data teams 📍Extensive experience in business intelligence (in particular data visualization) 📍Extensive experience in statistics/econometrics (in particular causal inference) 📍Experience with designing and deploying experiments 📍Experience with predictive analytics 📍Good understanding of market and mechanism design 📍Passionate about high-quality data visualizations that are accessible to non-experts, maintained with high attention to detail 📍Programming experience in SQL, Python, or similar programming languages 📍Experience in interfacing with data engineers to deploy and maintain data science applications 📍Experience with BI tools like Metabase, Tableau, Looker, or PowerBI 📍Skilled at managing cross-functional relationships and communicating with leadership across multiple teams 📍The following are a plus but not required: experience with geospatial data visualization, experience with graph algorithms, experience with social listening tools, basic understanding of blockchain technology, high-quality academic publications 📍Practically oriented and “getting-the-job-done” mindset 📍Thriving in a fast-paced and continuously evolving environment

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