Alessandro (Alex) Filazzola

@afilazzola.bsky.social

I build web apps and use big data to solve ecological problems 🌎 | Data Scientist at ApexRMS 👩‍💻 | Adjunct Faculty at Western University 🏞️

Wildfire modeling meets community knowledge in Kinuso, AB 🧪🌍 Last fall, we visited Swan River First Nation (SRFN) to co-develop a wildfire risk tool tailored to their territory. This work builds on earlier collaboration and continues to center SRFN’s leadership in wildfire resilience planning.

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Busting myths from leaving academia to a corporate world. Going from a post-doc in ecology to a job in data science, there were many myths floating around that were discouraging. But, once I had a bit of time outside, I realized how so many of these myths were false.

Data analyst, data scientist, or data engineer. Which should you choose?   Titles vary a lot between jobs, and there are no official rules that are tied to each. In some, especially smaller companies, you might be expected to fill all three roles. But what do these roles generally look like?

Startup, established company, or FAANG+. Where should you apply? Finding your perfect fit is crucial. Initially, I explored all three options without much selectivity, but hindsight taught me the importance of being picky. Where you work matters more than your job title.

New on here, so I'd like to introduce myself! I’m Alex and two years ago I made the jump from a post-doc in ecology to a corporate data science job. I love that I made this jump, but at the time, there was a lot of uncertainty. I wanted to join the chorus of others on socials to share my thoughts

Alex taking a selfie with a Quokka in Perth Australia