The Data Science Opportunities You Might be Missing on LinkedIn


Some of the best data science opportunities I’ve received never came through job boards.

They came through LinkedIn conversations.

Around three years ago, I set myself the goal of posting twice weekly on LinkedIn, after previously posting only “here and there”.

Six months ago, I increased that to daily posting.

The results have been transformative:

  • I’ve received work opportunities I never would have known existed;
  • Reconnected with valued colleagues from my past; and
  • Networked with data professionals from around the globe.

The key isn’t posting daily, though - it’s getting out and making connections.

Dub Dub Data co-founder Sarah Burnett recently came to this same conclusion herself after going from posting “twice yearly” to every day as a personal challenge she set herself.

In the latest Value Boost episode of Value Driven Data Science, Sarah and I discuss practical LinkedIn strategies that work for any frequency of posting - whether you’re building your own consultancy or advancing within your current organisation.

In just 10 minutes, we explore:

  1. How Sarah went from posting twice a year to daily LinkedIn content [01:25]
  2. The biggest benefits of consistent LinkedIn posting for data science careers [03:15]
  3. How to manage the challenge of daily content creation without burnout [04:31]
  4. The one LinkedIn strategy every data scientist should start using tomorrow [08:47]

Start where you are. Post when you can. Reach out to others wherever possible.

You never know what opportunity the next DM will bring.

Listen now on Apple Podcasts or Spotify, or click the link below:

Episode 89: LinkedIn Strategies for Boosting Your Data Science Career

Talk again soon,

Dr Genevieve Hayes

Data Science Impact Algorithm

Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.

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