• How To
    • Win Your DFS League
    • Win Your Auction Draft
    • Win Your Snake Draft
    • Download Projections
    • Scrape Projections
    • Calculate Projections for Your League
    • Examine Accuracy of Projections
    • Identify Sleepers
    • Save Custom Settings
    • Use the API
  • Strategy
    • Fantasy Football is Like Stock Picking
    • Use Projections, Not Rankings
  • Projections
    • Our Projections
    • Who has the Best Projections?
    • Draft the Best Starting Lineup
    • Projections are More Accurate than Rankings
    • Points by Position Rank
    • Players’ Risk Levels
    • Value Over Replacement
    • Bid-Up-To Value
    • Player Value Gap
    • Gold Mining
    • Weekly Variability
    • Are Subscription Sources More Accurate?
  • Statistics
    • How To Learn R
    • R is Better than Excel
    • Do Stats Help in Fantasy Football?
    • Download/Run Our Scripts
    • ffanalytics R Package
  • Apps
    • Auction Draft Optimizer
    • Snake Draft Optimizer
    • Weekly Lineup Optimizer
    • Rankings/Projections for Your League
    • API
    • Other Tools
      • Stock Analysis
    • Error Logging
  • Testimonials
  • About the Site
    • About
    • Authors
      • Isaac Petersen
    • FAQ
    • FFA Insider
    • Privacy Policy
    • Terms of Service
  • Donate

Fantasy Football Analytics

Call for Help: Lead R/Shiny Developer

1
  • by Isaac Petersen
  • in R
  • — 11 Sep, 2019

Dear Fantasy Football Analytics Community,

In 2013, we at Fantasy Football Analytics released web apps to help people make better decisions in fantasy football based on the wisdom of the crowd. Over the past six years, the community response has been incredibly supportive, and we continually improved the apps in response to user feedback. The community also contributed directly to the project, with a number of users making additions and edits to our public source R scripts on our GitHub repo and our ffanalytics R package. In sum, we provide web apps built by the people, for the people.

This brings me to our call for help. A key member of our team is stepping down at the end of the season. As we try to keep up with feature requests from the community and the impressive increase in users, we are looking for help. We are looking for a lead R/Shiny developer to help develop our web apps (apps.fantasyfootballanalytics.net). We are looking to help optimize and streamline the apps as well as add features to our popular platform. It would also be preferable for the developer to have some knowledge of American Football and fantasy football.

Crucial skills:

  • R package knowledge
  • Experience developing/testing R code/packages
  • Familiarity with Shiny

Nice-to-have skills (but not required):

  • Knowledge of American Football and fantasy football
  • Experience with MySQL, Shinyapps.io, and AWS

To apply, please email the following to jobs@fantasyfootballanalytics.net:

  1. letter of interest with a brief description of relevant skills
  2. resume/CV
  3. how much time you expect to be able to contribute
  4. work sample of R packages and/or Shiny apps that you have developed

Sincerely,
Isaac Petersen

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on Facebook (Opens in new window) Facebook
  • Click to share on Reddit (Opens in new window) Reddit
  • Click to email a link to a friend (Opens in new window) Email

Like this:

Like Loading...

Related

Share

— Isaac Petersen

My name is Isaac and I'm an assistant professor with a Ph.D. in Clinical Psychology. Why am I writing about fantasy football and data analysis? Because fantasy football involves the intersection of two things I love: sports and statistics. With this site, I hope to demonstrate the relevance of statistics for choosing the best team in fantasy football.

1 Comment

  1. Zach says:
    September 6, 2020 at 7:54 pm

    Hi Isaac, Thanks a lot for your hard work in making this site. Will this site be updated for 2020 season? If not, do you know of similar services? Thank you!

    Reply

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

  • Previous story Gold-Mining Week 1 (2019)
  • Next story Gold-Mining Week 2 (2019)
  • Tabs

    • Most Popular
    • Recent Posts
    • The ffanalytics R Package for Fantasy Football Data AnalysisJune 18, 2016
    • 2015 Fantasy Football Projections using OpenCPUMay 28, 2015
    • Win Your Fantasy Football Auction Draft: Determine the Optimal Players to Draft with this AppJune 14, 2013
    • Win Your Fantasy Football Snake Draft with this AppSeptember 1, 2013
    • Post-Combine Mock: Team Needs and TargetsMarch 10, 2025
    • Fantasy Football Weekly Cheat Sheet: Week 18 (2024)January 3, 2025
    • Fantasy Football Weekly Cheat Sheet: Week 17 (2024)December 26, 2024
    • Fantasy Football Weekly Cheat Sheet: Week 16 (2024)December 18, 2024
  • FFA Insider

    Logo
  • Categories

    • About the Authors
    • Articles
    • Auction Drafts
    • Draft Optimizer
    • FFA Insider
    • Gold Mining
    • How To
    • In the Media
    • Luck
    • Package
    • Projections
    • R
    • Risk
    • Theory
    • Tools
    • Trade Strategy
    • Uncategorized
    • Weekly
  • Facebook

  • Twitter

  • Our Partners

    R-bloggers

  • Support us building things... Even a cup of coffee ($1.99) helps us stay awake!

  • Subscribe to the Fantasy Football Analytics mailing list (no spam).
    Loading

        © Fantasy Football Analytics

        %d