Managing Data Science Teams @ DataNights

Cohort 2, Summer 2023

Managing Data Science Teams @ DataNights

DataNightsInstructor23'

The second DataNights Data Science Management cohort refined the original program into a seven-session run with a stronger speaker lineup, more structured workshops, and a clearer through-line from product mindset to hiring, scale, and organizational influence.

The second cohort ran from May 10, 2023 through June 21, 2023 in weekly evening sessions, co-hosted by Check Point in Tel Aviv.

Organizing Team

  • Shay Palachy Affek - Program lead and instructor, DataNights / Datahack
  • Topaz Gilad - Cohort operations, hosting, and session support, DataNights
  • Hila - Cohort operations, hosting, and session support, DataNights
  • Nurit Vatnik - Cohort operations, hosting, and session support, DataNights
  • Tal Rosenwein - Cohort operations, hosting, and session support, DataNights

Lectures

  • Intro Session - Shay Palachy Affek An opening discussion where participants introduced themselves and surfaced the management challenges they were currently facing.

  • Make It Worth: How to Successfully Deliver ML to Production - Dr. Inbal Budowski-Tal A framework for increasing the odds that machine learning initiatives will deliver real production value.

  • MVP for Data Scientists - Topaz Gilad Product mindset, iterative delivery, and how to define a useful MVP for a data science team.

  • The Bird’s Eye View on DS Management - Tal Rosenwein Lessons from managing an entire AI and algorithms group and positioning data science as an organizational function.

  • Managing a Data Science DREAM Team - Nurit Vatnik A framework for understanding different team archetypes and using that understanding to shape future hiring.

  • Interview Templates for Data Science - Shay Palachy Affek Tradeoffs between common interview formats and how to choose the right one for a given hiring need.

  • DS Hiring Workshop - Nurit Vatnik and Shay Palachy Affek A working session that turned the DREAM framework and interview templates into a custom hiring plan.

  • Hiring and Managing Juniors - Alice Fridberg How to onboard and develop junior data scientists with the right feedback cadence and training roadmap.

  • The Secret Sauce of Data Science Management - Shir Meir-Lador Managing up, down, and across while choosing the right projects to maximize the organization’s data science value.

  • Data Science at Scale - Mor Hananovitz The practical risks that appear when a promising proof of concept meets larger-scale production reality.

  • Corporate Dynamics - Shay Yahal Building coalitions inside organizations and growing the influence needed to get cross-functional work done.

  • Data Science Frameworks - Shay Palachy Affek Frameworks for scoping, structuring, and shipping ambiguous data science work.

  • Frameworks Practice - Shay Palachy Affek A workshop for participants to adapt the framework ideas to their own teams and projects.

Course Outline

Course Syllabus