Position Overview:

As a Quantitative Analyst (QA), you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.

Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to the GM and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.

Responsibilities:
• Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
• Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
• Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
• Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
• Provide input in architecting the storage of baseball data

Required Qualifications:
• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
• Meaningful work experience with statistical software (R, S-Plus, SAS, or similar), databases, and scripting languages such as Python
• Proven willingness to both teach others and learn new techniques
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

Preferred Qualifications:
• BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
• 0-5+ years of relevant work experience
• Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

Interested applicants should submit both their resume and an answer to the following question:

Suppose you could trade your top pitching prospect (currently in a lower minor league level) for a young, all-star position player currently in the Major Leagues. How would you decide whether to make the trade? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

Please submit your resume and question response to analytics@phillies.com no later than Sunday, October 13, 2019. Applications not sent to analytics@phillies.com will not be considered.

The Phillies is an Equal Opportunity Employer

BigEd76 wrote:The Phils are looking for a quantitative analyst and ask the applicant what would be their deciding factors when trading Sixto for JT

Position Overview:

As a Quantitative Analyst (QA), you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.

Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to the GM and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.

Responsibilities:
• Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
• Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
• Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
• Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
• Provide input in architecting the storage of baseball data

Required Qualifications:
• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
• Meaningful work experience with statistical software (R, S-Plus, SAS, or similar), databases, and scripting languages such as Python
• Proven willingness to both teach others and learn new techniques
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

Preferred Qualifications:
• BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
• 0-5+ years of relevant work experience
• Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

Interested applicants should submit both their resume and an answer to the following question:

Suppose you could trade your top pitching prospect (currently in a lower minor league level) for a young, all-star position player currently in the Major Leagues. How would you decide whether to make the trade? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

Please submit your resume and question response to analytics@phillies.com no later than Sunday, October 13, 2019. Applications not sent to analytics@phillies.com will not be considered.

The Phillies is an Equal Opportunity Employer

BigEd76 wrote:The Phils are looking for a quantitative analyst and ask the applicant what would be their deciding factors when trading Sixto for JT

Grotewold wrote:Recalls the Paula Poundstone joke about why adults ask kids what they want to be when they grow up

Werthless wrote:

BigEd76 wrote:The Phils are looking for a quantitative analyst and ask the applicant what would be their deciding factors when trading Sixto for JT

In a previous year, their applicant question was something like "how would you decide whether to call up a pitching prospect?"

BigEd76 wrote:The first ones we know about are posted in the minor league offseason topic. Apparently bunting and baserunning is a huge issue in the organization

BigEd76 wrote:The Phils are looking for a quantitative analyst and ask the applicant what would be their deciding factors when trading Sixto for JT

Position Overview:

As a Quantitative Analyst (QA), you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.

Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to the GM and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.

Responsibilities:
• Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
• Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
• Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
• Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
• Provide input in architecting the storage of baseball data

Required Qualifications:
• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
• Meaningful work experience with statistical software (R, S-Plus, SAS, or similar), databases, and scripting languages such as Python
• Proven willingness to both teach others and learn new techniques
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

Preferred Qualifications:
• BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
• 0-5+ years of relevant work experience
• Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

Interested applicants should submit both their resume and an answer to the following question:

Suppose you could trade your top pitching prospect (currently in a lower minor league level) for a young, all-star position player currently in the Major Leagues. How would you decide whether to make the trade? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

Please submit your resume and question response to analytics@phillies.com no later than Sunday, October 13, 2019. Applications not sent to analytics@phillies.com will not be considered.

The Phillies is an Equal Opportunity Employer

Bucky wrote:They don't make feet like they used to

Bill McNeal wrote:C-Dick limp

TenuredVulture wrote:

BigEd76 wrote:The Phils are looking for a quantitative analyst and ask the applicant what would be their deciding factors when trading Sixto for JT

Position Overview:

As a Quantitative Analyst (QA), you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.

Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to the GM and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.

Responsibilities:
• Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
• Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
• Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
• Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
• Provide input in architecting the storage of baseball data

Required Qualifications:
• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
• Meaningful work experience with statistical software (R, S-Plus, SAS, or similar), databases, and scripting languages such as Python
• Proven willingness to both teach others and learn new techniques
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

Preferred Qualifications:
• BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
• 0-5+ years of relevant work experience
• Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

Interested applicants should submit both their resume and an answer to the following question:

Suppose you could trade your top pitching prospect (currently in a lower minor league level) for a young, all-star position player currently in the Major Leagues. How would you decide whether to make the trade? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

Please submit your resume and question response to analytics@phillies.com no later than Sunday, October 13, 2019. Applications not sent to analytics@phillies.com will not be considered.

The Phillies is an Equal Opportunity Employer

Of course you make the trade. Duh. Now hire me.

Seriously though, no one is trading a young all star (presumably one who still is on his rookie contract) for a low level minor league pitching prospect. Ozzie Albies for Adonis Medina? I make that trade. Because the future is now.