Please note, this posting contains two positions.

Position: Baseball Operations Software Engineer

Location: Chicago, IL

Description:
The Chicago White Sox seek an experienced Software Engineer to join their baseball operations group. The engineer will be responsible for building and maintaining data driven systems with a focus on Baseball Analytics, however there will be additional exposure to all facets of baseball operations. This position will report to the Director of Baseball Analytics.

Responsibilities:

• Develop data-driven web applications and reports to assist the White Sox front office with player evaluation, arbitration, scouting, and player development.
• Manage the integration of new and existing data sources.
• Provide operational support.

Requirements:

• Degree in computer science, engineering, or similar field.
• Technical proficiency in web development and scripting technologies such as HTML, PHP, AJAX, and JavaScript.
• Object oriented development experience with Visual Studio and C#.
• Strong UI design fundamentals, with examples of intuitive and flexible interfaces.
• Knowledge of SQL Server or MySQL with the ability to write and optimize complex queries and stored procedures.
• Experience working with large datasets.
• Familiarity with advanced baseball metrics and research.
• Strong communication and presentation skills.
• Demonstrated high degree of integrity, professionalism, accountability, and discretion.
• Ability to work flexible hours.

Preferred Qualifications:

• Experience with ETL methodologies.
• Experience presenting data with Tableau.
• Experience performing advanced statistical analysis with analytical tools such as R, MatLab, or Python.
• Advanced quantitative degree or published research.
• Prior baseball playing or operations experience.

To Apply:
Please review the requirements above and send a resume/cover letter to ApplyAnalytics@chisox.com. Due to the large number of applicants, you may not receive a response.

Position: Baseball Analyst

Description:
The Chicago White Sox seek a passionate, knowledgeable, and dedicated individual with a desire to work in Baseball Operations. The position will focus primarily on the numerical methods that drive Baseball Analytics, however there will be additional exposure to all facets of baseball operations. This position will report to the Director of Baseball Analytics.

Responsibilities:

• Create proprietary performance metrics and predictive models using regression and machine learning.
• Develop data-driven applications and reports to assist the White Sox front office with player evaluation, arbitration, scouting, and player development.
• Provide operational support.

Requirements:

• Degree in computer science, mathematics, engineering, or similar field.
• Experience performing advanced statistical analysis (regression, mixed models, machine learning) with analytical tools such as R, MatLab, or Python.
• Knowledge of SQL Server or MySQL with the ability to write and optimize complex queries and stored procedures.
• Experience working with large datasets.
• Familiarity with advanced baseball metrics and research.
• Strong communication and presentation skills.
• Demonstrated high degree of integrity, professionalism, accountability, and discretion.
• Ability to work flexible hours.

Preferred Qualifications:

• Technical proficiency in web development and scripting technologies such as HTML, PHP, AJAX, JavaScript, Node.js, and Vue-js.
• Object oriented development experience with Visual Studio and C#.
• Knowledge and practice with ETL solutions and best practices.
• Experience creating computer vision models with OpenCV or TensorFlow.
• Experience presenting data with Tableau.
• Advanced quantitative degree or published research.
• Prior baseball playing or operations experience.

To Apply:
Please review the requirements above and send a resume/cover letter to ApplyAnalytics@chisox.com. Due to the large number of applicants, you may not receive a response.

The content in this posting was created and provided solely by the Chicago White Sox.