Minnesota Twins-posted about 1 year ago
Full-time • Mid Level
Minneapolis, MN
Performing Arts, Spectator Sports, and Related Industries

The Analyst, Advanced Scouting position with the Minnesota Twins involves overseeing advance scouting models, analyzing batter/pitcher matchups, and producing reports on opposing teams' tendencies. The role requires collaboration with the Major League coaching staff and involves travel with the team for road games. The analyst will also create automated tools and visualizations to enhance information distribution and evaluate the effectiveness of game strategies.

  • Oversee all advance scouting models.
  • Analyze batter/pitcher matchups.
  • Prepare pre-Series reports on tendencies of the opposing team.
  • Evaluate infield positioning code two years from the shift ban.
  • Produce infield and outfield cards for all batter/pitcher matchups.
  • Run game offensively and defensively.
  • Travel with the Major League team on some road trips and be available for all home games.
  • Assist and answer questions during pregame workouts.
  • Be available in-game to help make strategy adjustments.
  • Lead post-game review and key decisions during each game.
  • Act as the point person between the front office and the Major League coaching staff.
  • Inform the Major League staff of changes and improvements to core models from the R&D department.
  • Oversee pregame and post-game reports for players and staff.
  • Create and improve automated tools and visualizations for information distribution.
  • Build a post-game review process for evaluating game plan effectiveness.
  • Quantitatively assess long-term team goals.
  • Monitor key performance metrics frequently and report results to the staff.
  • Suggest adjustments in areas falling short of team metrics.
  • 2 years of data analyst experience with the ability to interpret and analyze statistics.
  • Experience with statistical programs such as R, Python, MATLAB, Julia, or Stan.
  • Experience with SQL and relational databases.
  • Proficiency in word processing, spreadsheets, and presentation software.
  • Exceptional skills in communicating complex statistical concepts to diverse stakeholders.
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