Panel: Career Advice for Data Scientists
summary
Panelists give practical, specific career moves: start applying even when you feel underqualified, pick a niche (visualization, reporting, etc.), and use R plus SQL and basic ML while learning big‑data tools only as needed. Build or join communities (R-Ladies, #rstats, #TidyTuesday, Twitter) and ask peers about market salaries before negotiating. Try consulting or parameterized reporting to gain experience—one example automates 100 client reports—and timebox coding to keep technical skills while managing. apply even if you feel unready learn R plus SQL and basic ML
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chapters (22)
- 0:00Intro
- 2:00Working Cool
- 3:34Biostatistics Researcher
- 6:40Building a Community
- 7:32Creating a Community
- 11:14The Dark Side
- 12:12Career Advice
- 14:28Advice for beginners
- 16:14Advice for consultants
- 17:26HR job descriptions
- 18:04Managing technical skills
- 20:29Developing other skills
- 22:11Salary negotiations
- 24:53Prior salary
- 26:04Transparency
- 27:08Technical skills
- 29:07Data Analyst vs Data Scientist
- 30:05Data Scientist vs Data Analyst
- 32:41Mentorship Opportunities
- 34:26Twitter Recommendations
- 36:11Specialization
- 40:19Network
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