Director of Data Science

Lead and build out a high-performing Data Science team, setting priorities, hiring, and innovating data science and business intelligence solutions. The role involves collaborating with various teams and directly impacting strategic decisions.

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

San Francisco, United States, North America

Resume Assistance

See how well your resume matches this job role with our AI-powered score. By uploading your resume, you agree to our Terms of Service

Click to upload

or drag and drop

pdf, doc, or docx (max. 10MB)

Ready to apply?

You're one step away - it takes less than a minute to upload your resume

Requirements

MSc in economics, computer science, operations research, or similar

5+ years of hands-on technical experience as an IC in a data science role, or similar

5+ years of management experience building and leading data science teams

Extensive experience in business intelligence, with a passion for high-quality data visualizations that are easily accessible to non-experts and maintained with rigorous attention to detail

Service provider mindset, with a passion for enabling other teams

Extensive experience with BI tools like Metabase, Tableau, Looker, or PowerBI

Extensive experience with A/B testing

Experience interfacing with data and analytics engineers to deploy and maintain data science applications

Good understanding of statistics/econometrics (e.g., causal inference)

Programming experience in SQL, Python, or similar programming languages

Skilled at managing cross-functional relationships and communicating with leadership across multiple teams

Practically oriented and “getting-the-job-done” mindset

Thriving in a fast-paced and continuously evolving environment

Responsibilities

Build out and lead a high-performing team of data analysts and data scientists

Foster a culture of high quality work and continuous improvement

Define World’s key metrics together with other stakeholders

Create transparency on key metrics by designing, developing and maintaining dashboards and visualizations of the highest quality

Collaborate with the Economics team on field experimentation and advanced statistical analyses

Collaborate closely with the Data & Analytics Engineering team to ensure the collection of accurate, high-quality data in the Data Warehouse

Collaborate with the Blockchain and Tokenomics teams to analyze high-volume amounts of blockchain data