#Technology #DataAnalytics #DataDriven Unlocking Growth: 3 Years at Meta — Transformative Lessons for Work and Life: Generated using Microsoft Image Creator by Author
Unlocking Growth: 3 Years at Meta — Transformative Lessons for Work and Life
Working at Meta was fast-paced, challenging, and intellectually stimulating. For three transformative years, I worked as a Product Data Scientist in Integrity and account security at the bustling London office. Now, as I look back, I find myself continually drawn to the invaluable lessons gleaned during my time there. Beyond the confines of the office, these insights have seamlessly integrated into both my professional and personal growth.
Lesson 1: Always start with why
Meta champions meaningful contributions over mere activity. Twice a year, employees undergo rigorous assessments based on how much tangible impact they’ve made in the last 6 months. The focus isn’t solely on tasks completed or volumes achieved; rather, it’s about the consequential outcomes stemming from one’s actions.
It means that it doesn’t matter what you’ve done or how much you’ve done, it matters what happens because of what you’ve done.
As a Data Scientist (DS), it’s not about the hours logged or the volume of insights generated; what truly counts is the transformative impact of your discoveries.
Consider this: by uncovering a segment of users experiencing unusually short session times, you exposed a critical engineering bug affecting a specific device type. As a result, your findings catalyzed the Engineering team to rectify the issue and correctly measure session time, leading to a staggering increase of 20 million more minutes in session time measured per day. That’s the tangible ‘so what’ impact that defines your contribution.(Note that this is a completely made-up example)
In this “impact” culture, I found myself continually pondering the potential outcome of my projects, delving into the ‘why’ behind my actions. Yet, grappling with the clarity of this ‘why’ wasn’t always a straightforward journey; uncertainty often clouded the path. But one thing was clear: you should determine your direction of travel and not mistake motion for progress.
Starting with “why” works remarkably for stakeholder management, too. Often, people begin by detailing their process, only circling back to their purpose later, if at all. By probing their “why”, you gain insight into their priorities and motivations, facilitating more meaningful and effective interactions
For example, when someone comes to you with a request, initiate by probing: “What problems are you trying to solve and when do you want it delivered?” This can go two ways. They might stumble a bit, struggling to articulate their goals. That’s ok. Ask questions to help them clarify, like “I understand that budget is a constraint, but what would you want the campaign to… #MachineLearning #ArtificialIntelligence #DataScience
Turning Job Change Data Into Insights | Former Professional 🚴♂️
1wBoom! Let me know if I can ever be a data resource