Job Posting: Cleveland Indians Baseball Research & Development Positons

Please note this posting contains two positions.

Position Title: Analyst

Department: Baseball Research & Development
Employment Type: Full-Time

Primary Purpose
The Cleveland Indians are seeking an analyst to join the team’s Baseball Research and Development group. The position will use the team’s proprietary data to build tools and resources that help the team across all facets of baseball operations. The ideal candidate will possess a strong foundation in statistics and/or data science, the ability to effectively communicate findings to colleagues in non-technical roles, and a passion for learning more about baseball. Strong applicants will demonstrate curiosity, creativity, and a drive to learn new concepts. The Indians are open to a remote role for the right candidate, but relocation to Cleveland, OH is preferred.

Essential Duties & Responsibilities

  • Analyze and interpret baseball data.
  • Research, build, test, and deploy statistical and/or machine learning models to support Baseball Operations.
  • Visualize data in concise, readable formats for non-technical staff members.
  • Communicate research findings to key stakeholders across the organization.

Requirements

  • Demonstrated experience or degree in a quantitative field such as statistics, mathematics, computer science, operations research, economics, or data science.
  • Demonstrated ability to solve problems in a data-driven way.
  • Passion for baseball analytics and/or sports science.
  • Proficiency in at least one statistical programming language (e.g. R, Python).

Preferred Experience
The Indians are looking for a variety of skill sets. If you have demonstrated experience with any of the following, you may be who they are looking for.

  • Knowledge of advanced baseball statistics and publicly available baseball research
  • Demonstrated Baseball research experience
  • Bayesian statistics
  • Database languages (e.g. SQL)
  • Computer vision (e.g. OpenCV, CNN)
  • Deep learning frameworks (e.g. Tensorflow, Pytorch)
  • Biomechanics

Standard Requirements

  • Represents the Cleveland Indians in a positive fashion to all business partners and the general public.
  • Ability to develop and maintain successful working relationship with members of the Front Office.
  • Ability to act according to the organizational values and service excellence at all times.
  • Ability to work with multicultural populations and have a commitment to fairness and equality.
  • Ability to work extended days and hours, including holidays and weekends.
  • Ability to work in a diverse and changing environment.

To Apply
All applicants are encouraged to apply online through the Indians website for consideration. Please click here to apply directly.

Position Title: Data Scientist

Department: Baseball Research & Development
Employment Type: Full-Time

Primary Purpose
The Cleveland Indians Baseball Research & Development group is seeking to hire an experienced data scientist to use advanced machine learning techniques to enhance the team’s ability to quantify the game of baseball. In this role, you will work with complex high-dimensional, spatiotemporal data such as video, player tracking, and biomechanics data. You will use these data sources to help the team acquire the best possible players (i.e. trades, free agency, draft) and develop them into members of a championship-caliber team. As a machine-learning expert within the research team, you will be responsible for model conception, design, and implementation. The Indians are open to a remote role for the right candidate, but relocation to Cleveland, OH is preferred.

Responsibilities

  • Design, build, test, and deploy statistical and/or machine learning models to support all facets of baseball operations, including scouting, player development, and the major league team.
  • Integrate and share important findings published in the fast-paced machine learning academic literature.
  • Effectively communicate actionable insights to key stakeholders across the organization.

Basic Requirements

  • Advanced degree or equivalent experience in a quantitative field such as Statistics, Computer Science, Economics, Machine Learning, or Operations Research.
  • Strong programming skills in a language such as R or Python to work efficiently at scale with large data sets.
  • Desire to continue learning about data science applications in baseball.

Preferred Experience

  • Demonstrated research experience in a sports context (baseball is a plus).
  • Experience with a database language such as SQL (NoSQL experience is a plus).

Standard Requirements

  • Represents the Cleveland Indians in a positive fashion to all business partners and the general public.
  • Ability to develop and maintain successful working relationship with members of the Front Office.
  • Ability to act according to the organizational values and service excellence at all times.
  • Ability to work with multicultural populations and have a commitment to fairness and equality.
  • Ability to work extended days and hours, including holidays and weekends.
  • Ability to work in a diverse and changing environment.

To Apply
All applicants are encouraged to apply online through the Indians website for consideration. Please click here to apply directly.

The content in this posting was created and provided solely by the Cleveland Indians.





Meg is the managing editor of FanGraphs and the co-host of Effectively Wild. Prior to joining FanGraphs, her work appeared at Baseball Prospectus, Lookout Landing, and Just A Bit Outside. You can follow her on twitter @megrowler.

5 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
Cave Dameron
3 years ago

Salaries?

jcutigermember
3 years ago
Reply to  Cave Dameron

$7.50 an hour and 1 free concession meal during home games.

Joemember
3 years ago
Reply to  jcutiger

Concessions are never free

Cave Dameron
3 years ago
Reply to  Joe

Is this the famous opportunity cost concept from Adam Smith that I failed to grasp during freshman economics?