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emoji of a pushpinPhiladelphia, PAemoji of a money bag70,000-120,000emoji of a clockSun Oct 31 2021
emoji of a woman of coloremoji of a man19 people in techemoji of a woman of coloremoji of a woman 4 women in techemoji of a woman of coloremoji of a person of color 3 people of color in tech

The Philadelphia Phillies are a Major League Baseball club based in Philadelphia, Pennsylvania. Formed in 1883, the Phillies are the oldest, continuous, one-name, one-city franchise in all of professional sports.

JOB DESCRIPTION

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, e)
  • 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,
  • 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:

  • Possess or are pursuing a 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:

The R&D department has been asked to provide a recommendation to promote or not promote a pitching prospect from AA to AAA. What information would you consider in formulating your recommendation? (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 no later than Sunday, October 31, 2021.

INTERVIEW PROCESS

Interview Process: Resume Review -> Take home questionnaire  -> 1-3 video interviews

DIVERSITY, EQUITY AND INCLUSION

It is The Phillies policy to promote a productive work environment free from all forms of discrimination and conduct that could be considered harassing, coercive or disruptive. The Phillies also fosters inclusiveness for all people and a workplace in which mutual respect is paramount.

The Phillies will provide equal opportunity to all employees and applicants without regard to race, color, sex (including pregnancy), age, religion, creed, national origin, ancestry, handicap or disability, sexual orientation, gender identity and expression, genetic information, veteran status, marital status, familial status, domestic or sexual violence victim status or any other classification protected by applicable law. This policy covers recruitment, hiring, compensation, benefits, promotion, demotion, layoff, termination and all other terms and conditions of employment, work environment and customer/client relationships.

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When you apply, please mention that you found the posting on Diversify Tech!


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