Best practice playbook for building your data science career
This post is intended to be a best practices guide to individual contributor data science careers. This section picks up from my summary on launching and scaling data science teams. I am targeting a data scientist who has developed a standard toolkit, via any source outside of industry. IMO, there are exhaustive amounts of resources to scale ICs from zero to Kaggle master/interview ready. This post is the continuation of those resources, for data scientists asking this question: “I’ve learned the skills. I’ve made it through interviews. It’s my first day at ______. Now what?”
The four sentence summary: Embed…
Best practice playbook for building and managing your data science team
This post is intended to be a best practices guide to managing a data science team. This section picks up from my summary on Launching and Scaling Data Science Teams, and contains some overlap with the Data Science IC playbook. I am targeting a data scientist who has had success as an individual contributor, and is currently struggling with classic managerial questions: how do I scale, hire, evaluate, communicate? Within data science, this is an even tougher problem given the massive differences in the backgrounds of qualified candidates. This post is for people asking the question: “I’ve had success as…
Best practice playbook interacting with your data science team
This post is intended to be a best practices guide to interacting with a data science team. This section picks up from my summary on Launching and Scaling Data Science Teams, and contains some overlap with the Data Science IC and Data Science Manager playbook. I am targeting a business stakeholder (PM, ops director, business analyst, CMO) that depends heavily on their data science team heavily, but is having trouble communicating with individuals and integrating with the team’s workflow. …
Best practice playbooks for building data science into your organization
This is the final output of a Fall semester independent project on data science leadership and organization within companies. I am in the second year of my MBA at Harvard Business School, and Kris Ferreira in the Technology and Operations (TOM) unit is my advisor. I interviewed 29 people (DS individual contributors, DS managers, non-technical business leaders) across 13 companies. I used those interviews to develop a best practices playbook for launching and scaling data science teams and careers: one for data scientists, one for data science managers, one for business stakeholders.
Intro
The idea for this project came to me…
Ian Macomber
Analytics @drizly. Intersection of AI/ML and Business Leadership. Previously @harvardHBS, @zillow, @wayfair, @dartmouth. New problems and solutions.
