Onboards new tools, deploys solutions, supports existing standards Works closely with IT to maintain, upgrade and scale analytic environments Influences others in the organization to be more effective Passionate about making R a legitimate analytic standard within the organization Check out Nathan Stephens on the RViews Blog - Analytics Administration for R
Proof of Concept Hands-on experience with analytic infrastructure Discover organization-specific solutions and anti-patterns Use skills to foster better communication with IT/Ops
"my_ip_cidr='[YOUR IP ADDRESS]/32'" --private-key=~/Downloads/sandbox-key.pem I like to set up a python virtual environment for ansible - especially when working with cloud credentials I also like to create security groups that are locked down to my own IP address (unless I’m working with others)
org-thinking ~10:50 AM Effective strategies to overcome some of the most difficult organizational barriers that are faced by data scientists using R. - Funding barriers - IT support - The “open source mentality” - Office politics and pressure