shaypal5 / awesome-ds-mgmt

Awesome DS Management: A curated lists of data science management-related materials.

Awesome DS Management

A curated list of resources about managing data science teams

General Takeaways

Blog posts & lectures that convey the experience and attitude of some specific data science manager.

• Make it worth: how to successfully deliver ML to production, by Inbal Budowski-Tal
• From 0 to 60 (Models) in Two Years: Building Out an Impactful Data Science Function, by Carl Anderson
• Lessons learned leading AI teams, by Shir Meir Lador
• The Secret Sauce of Data Science Managemeny, by Shir Meir Lador
• The Hitchhiker’s Guide to Building a Data Science Team
• Important Traits To Help You Become A Better Data-Science Manager, by Ori Cohen

Team Structure & Roles

• Team Topology for Machine Learning, Misbah Uddin
• Towards a Data Mesh: Data Domains and Teams Topologies, by François Nguyen

Hiring for Data Science Teams

• Interview Formats for Data Scientists, by Shay Palachy Affek

DS Project Workflows

Characterisitic flows/structures for data science projects.

• CRISP-DM
• Microsoft's Team Data Science Process
• Uber ML's Project Workflow
• Data Science Project Flow for Startups, by Shay Palachy Affek

Measuring Data Science Projects

• Measuring A Data Science Team's Business Value & Success, by Kimberly Shenk
• KPI-Objective Alignment, by Shay Palachy Affek
• Peer Review Processes for Data Science Projects, by Shay Palachy Affek

Measuring and Testing Models

• Testing throughout the ML lifecycle, by Noam Bressler
• How to Test Machine Learning Models, by Shir Chorev
• Checklist for Data Science Research Review, by Philip Tannor

Methodology

• Machine Learning Systems: Design Patterns, by Shay Yanovsky

Docs & Templates

• DS Project Def Docs, by Shay Palachy Affek

DS Playbooks

• Intuit ML's Playbook, by Shir Meir Lador
• Playbook Variants for DS Teams, by Shay Palachy Affek

Contribute

Contributions welcome! Read the contribution guidelines first.