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Baseball Systems Data Modeler, Research & Development | Job Description
Machine Learning Engineer, Research & Development | Job Description
Baseball Systems Developer, Research & Development | Job Description
Job Description:
The Houston Astros are seeking a Baseball Systems Data Modeler for the team’s Baseball Research and Development group. The Baseball Systems Data Modeler will work closely with the Senior Architect of R&D as part of a cross-functional agile team to build infrastructure and design systems that encourage the effective understanding and application of information throughout Baseball Operations.
- Create and maintain ETL jobs for incoming data feeds
- Ensure data integrity within the database and data processes
- Design, implement, and maintain data mapping procedures
- Apply statistical methods for handling and testing missing data problems
- Bachelor’s degree in computer science or related field is preferred
- Experience with SQL Server and T-SQL, including SQL Server Reporting Service and SQL Server Integration Services
- Experience with designing and developing data marts
- Experience with data governance
- Understanding of baseball data (e.g., TrackMan, Statcast) is preferred
- Experience with Microsoft Azure/Amazon Web Services/Google Cloud platform is preferred
- Experience with continuous integration/continuous deployment is preferred
- Experience with agile software development processes preferred
- Experience with software testing and data-driven development preferred
- Familiarity with Python and R is preferred
- Strong analytical and problem-solving skills
- Strong interpersonal and communication skills (written and verbal)
Job Description:
The Houston Astros are seeking a Machine Learning Engineer for the team’s Baseball Research and Development group. The Machine Learning Engineer will work closely with the Senior Architect and Director of R&D as part of a cross-functional agile team to deploy statistical, machine learning, and deep learning models at scale and to ensure that they are reliable and repeatable.
- Collaborate with a cross-functional agile team on developing machine learning systems from prototyping to production
- Support investigation of new software packages/vendors, APIs, and algorithms to deliver quality analytics and machine learning at scale
- Develop infrastructure and tools to productionize new algorithms in a repeatable manner
- Advanced degree in statistics, engineering, applied math, physics, quantitative social sciences, computer science, operations research or similar field or professional experience preferred
- Fluency in R, including experience with the tidyverse and modern R development practices
- Fluency in Python with preference for Python 3 experience
- Experience with software testing and data-driven development strongly preferred
- Experience with large data sets and distributed computing strongly preferred
- Experience with deep learning frameworks (Tensorflow, CNTK, Caffe, etc.) preferred
- Ability to write SQL queries is preferred
- Experience with agile software processes preferred
- Strong analytical and problem-solving skills
- Strong interpersonal and communication skills (written and verbal)
This job operates in an office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. The noise level is usually moderate but can be loud within the stadium environment.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. This is a largely sedentary role; however, some filing is required. This would require the ability to lift files, open filing cabinets and bend or stand on a step ladder as necessary.
Ability to work a flexible schedule, including evenings, weekends, and holidays.
Rare travel maybe expected in this role.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Description:
The Houston Astros are seeking a Baseball Systems Developer for the team’s Baseball Research and Development group. The Baseball Systems Developer will work closely with the Senior Architect of R&D as part of a cross-functional agile team to build infrastructure and design systems that encourage the effective understanding and application of information throughout Baseball Operations.
- Collaborate with a cross-functional agile team on designing, testing, implementing, and maintaining scalable software for Baseball Operations
- Collaborate with a cross-functional agile team on improving efficiency and scalability of current Baseball Operations software
- Bachelor’s degree in computer science or related field is preferred
- Proficient in at least two of the following:
- C# and ASP.NET or ASP.NET Core
- HTML/JavaScript (TypeScript preferred)/CSS
- A front-end framework like React, Angular, or Vue
- Experience with Microsoft Azure/Amazon Web Services/Google Cloud platform is preferred
- Experience with continuous integration/continuous deployment is preferred
- Experience with data visualization tools such as Plotly and D3 is preferred
- Experience with formal software (unit/integration/ testing and data-driven development preferred
- Experience with agile software development processes preferred
- Familiarity with Python and R Shiny Apps preferred
- Strong analytical and problem-solving skills
- Strong interpersonal and communication skills (written and verbal)
This job operates in an office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. The noise level is usually moderate but can be loud within the stadium environment.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. This is a largely sedentary role; however, some filing is required. This would require the ability to lift files, open filing cabinets and bend or stand on a step ladder as necessary.
Ability to work a flexible schedule, including evenings, weekends, and holidays.
Rare travel maybe expected in this role.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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