We use #rlang for all our Data Science/Analysis work. If you want to work with #rstats in a business context and be part of a cutting edge data science product, check out our roles:
https://t.co/XqzlngypeU (easy apply with your CV/resume)
#hiring#hiringnow#Rjobs
Our Account Management team is #hiringremote within North America. If you've got early stage experience in account and project management, please apply:
https://t.co/FvnJDqzV6G
2022 has been a wild year in the venture markets. Many people have said that it's one of the worst times to raise venture money they've ever seen.
And yet.
I'm very stoked to announce that Recast recently closed our seed funding round led by @LererHippeau.
2022 has been a wild year in the venture markets. Many people have said that it's one of the worst times to raise venture money they've ever seen.
And yet.
I'm very stoked to announce that Recast recently closed our seed funding round led by @LererHippeau.
We're #hiring for our team! If you love programming in #rlang then check out our Senior Software Engineer and Marketing Data Analyst roles.
Apply here - https://t.co/XqzlngypeU
Anyone know how we can sponsor an @RLadiesGlobal or chapter event? Recast has a ton of #rlang jobs open and we'd love to be able to get involved with that community.
📢 New Blog Alert 📢
We just published another blog post on the Reforge blog about a more systematic way to think about testing for marketing teams.
https://t.co/0bidbR97G1
Sometimes the best attribution is no attribution.
In this article for @getrecast, our founder @nickboyce argues the case for anchoring paid media reporting on blended metrics and overlaying platform-attributed conversions to visualise divergences.
👉 https://t.co/JvdpVralXS
"Invest in durable solutions." Couldn't have said it better ourselves!
2022 is going to be the year marketing measurement really changes -- most won't be ready.
“The amount of user level data available for measurement will continue to decline. Maybe you need to park that identity based strategy for a year and focus on panels, aggregate data modeling and (outcomes). Invest in durable solutions”
Dan Taylor, VP, Global Ads, Google #IP2022
At @getrecast people often ask us about what "Bayesian" means and why it's so important for doing marketing mix modeling correctly.
Talk of bayes theorem and priors and posteriors might be helpful for statitisticians, but today I'll try to give a more intuitive explanation. 1/7
At @getrecast people often ask us about what "Bayesian" means and why it's so important for doing marketing mix modeling correctly.
Talk of bayes theorem and priors and posteriors might be helpful for statitisticians, but today I'll try to give a more intuitive explanation. 1/7