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The reality of data scientists career growth -- what is real impact?
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I was invited to give a career growth talk to the data scientists at Pinterest's Ads organization, and they kindly recorded it so I could share it with all of you.
In the talk, I discussed why data scientists often spend time on the wrong things—tasks that don’t contribute to their growth or the business—and how to focus on making a real impact.
The audience asked a lot of great questions, which made the discussion even more valuable.
00:00 Introduction and Speaker Background
01:56 The Illusion of Hard Skills
03:23 Misconceptions in Data Science
06:31 Real-World Application and Impact
12:28 Driving Better Decisions
14:27 The Complexity of Impact
24:48 The Importance of Opinions Without Data
26:07 Challenges in Asking Valuable Questions
27:39 Building a Mental Model in Data Science
28:55 Understanding Business Context for Better Decisions
37:17 Taking Initiatives and Exploring Unknown Territories
38:43 Leveraging Managerial Support for Career Growth
42:04 Overcoming Fear in Presentations
43:26 Q&A: Experiences and Insights
In the talk, I discussed why data scientists often spend time on the wrong things—tasks that don’t contribute to their growth or the business—and how to focus on making a real impact.
The audience asked a lot of great questions, which made the discussion even more valuable.
00:00 Introduction and Speaker Background
01:56 The Illusion of Hard Skills
03:23 Misconceptions in Data Science
06:31 Real-World Application and Impact
12:28 Driving Better Decisions
14:27 The Complexity of Impact
24:48 The Importance of Opinions Without Data
26:07 Challenges in Asking Valuable Questions
27:39 Building a Mental Model in Data Science
28:55 Understanding Business Context for Better Decisions
37:17 Taking Initiatives and Exploring Unknown Territories
38:43 Leveraging Managerial Support for Career Growth
42:04 Overcoming Fear in Presentations
43:26 Q&A: Experiences and Insights
The reality of data scientists career growth -- what is real impact?
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