Vacancy: Pittsburgh Pirates – Multiple vacancies

Direct links to applications (see job details below):

Tech Lead – Baseball Systems
Data Scientist – Research and Development

The pirates Why
The Pittsburgh Pirates are a legendary franchise in Major League Baseball that is reinventing itself at every level. Boldly and relentlessly pursuing excellence through:

• deliberately developing a player- and people-oriented culture;
• a deep connection with our fans, partners and colleagues;
• passionately creating lifelong memories for generations of families and friends; And
• have a meaningful impact on our communities and the game of baseball.

At The Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture that focuses on passion, innovation, respect, responsibility, teamwork, empathy and service.

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Tech Lead – Baseball Systems

Task overview
We are looking for a Tech Lead to guide the next evolution of our internal baseball decision-making platform. This web-based system provides players, coaches, analysts and executives with the insights they need to make better, faster decisions. You combine groundbreaking ML research with the latest baseball statistics. You combine hands-on engineering with technical leadership: you set the bar for code quality, modern architectures, and DevOps practices, while mentoring a high-performing team of software and data engineers.

Responsibilities
Primary

1. Make sure every baseball system function is intuitive, reliable, and has a measurable impact.
2. Design clean, scalable architectures and advocate for platform-wide standards that reflect the latest industry best practices.
3. Lead cloud-native engineering efforts including containerization, Kubernetes orchestration, and infrastructure-as-code pipelines.
4. Collaborate with data scientists, analysts, software engineers, and front office leaders to translate baseball strategy into resilient software and ML pipelines.
5. Model rapid, high-performance execution—from building custom React components to tuning data services or ML workflows—and shepherd initiatives from concept to delivery.
6. Mentor engineers with varying levels of experience, who promote knowledge sharing, thoughtful code review, and continuous improvement.
7. Drive an Agile product development process that balances experimentation, user feedback, and operational excellence.
8. Maintain a relentless focus on functions that strengthen the organization’s competitive advantage.

Qualifications
Required:

1. Authorized to work legally in the United States.
2. Bachelor’s degree in computer science, information systems or a related field (or equivalent experience).
3. Strong communication skills: you translate complex technical concepts for non-technical partners and build trust between departments.
4. Familiarity with building and operating ML pipelines or advanced analytics services in addition to traditional application development.
5. Track record of delivering full-stack web applications in data-driven, end-user-centric environments.
6. Proven success leading technical teams, designing technical implementations, and mentoring others to do their best work.
7. Hands-on experience with Kubernetes, Docker, container orchestration, and modern DevOps practices (CI/CD, infrastructure as code).
8. Expert-level experience with React, Node.js, and Python, plus comfort moving through the stack: from front-end polish to backend services and data workflows.

Desired:

1. Hands-on experience with statistical learning or AI development
2. Deep curiosity about baseball and how data, analytics and technology influence strategy and performance.

Equal opportunity employer
The Pittsburgh Pirates are an equal opportunity employer. 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.

Apply
To apply, please follow this link.

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Data Scientist – Research and Development

Task overview
As a Data Scientist on the Pirates Research & Development team, you’ll help turn a wealth of baseball data – from box scores and player tracking to video and biomechanics – into actionable insights that drive the Pirates to make better, faster acquisition, development and deployment decisions. You will work closely with other data scientists, analysts and software engineers at Baseball R&D and with other stakeholders at Baseball Operations (scouts, coaches, player development, front office) to transform your statistical and machine learning models into actionable decision tools.

Responsibilities:

1. Design, build, validate, and implement statistical and/or machine learning models to support all facets of baseball operations, including scouting, player acquisition, player development, and on-field decision making.
2. Build tools, prototypes, and visualizations to translate complex data and model results into insights that are understandable to coaches, players, and decision makers.
3. Communicate results and insights clearly to both technical and non-technical audiences.
4. Collaborate with data engineers to build scalable data pipelines and maintain data quality.
5. Stay up to date on new data sources, analytical techniques and research.
6. Help the organization experiment, learn and iterate.

Qualifications
We recognize that no candidate will meet all of the qualifications below. If you are excited about this role and think you can add value to our work, we encourage you to apply, even if your experience does not perfectly match all the requirements.
Required:

1. Degree (or equivalent experience) in a quantitative discipline (e.g. Statistics, Computer Science, Mathematics, Economics, Machine Learning, Biomechanics, Engineering, Operations Research).
2. Demonstrated experience applying complex statistical and/or machine learning tools to real-world problems.
3. Demonstrated proficiency in a programming language such as Python or R for data analysis and modeling.
4. Demonstrated ability to communicate complex quantitative concepts clearly, both in writing and orally.
5. Demonstrated experience collaborating with others on data science projects.
6. Authorized to work legally in the United States.

Desired:

1. Familiarity with advanced statistical techniques (e.g. fixed-effect/random-effect models, generalized additive models, Bayesian modeling, probabilistic programming).
2. Experience with machine learning/deep learning frameworks (e.g. PyTorch, Tensorflow), especially applied to high-dimensional, spatiotemporal or biomechanical data.
3. Background in computer vision, biomechanics, sports science or modeling of dynamic physical systems.
4. Previous experience in the context of sports analytics; baseball is a plus.
5. Experience with database languages ​​(e.g. SQL) and working with large/relational data sets.

Equal opportunity employer
The Pittsburgh Pirates are an equal opportunity employer. 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.

Apply
To apply, please follow this link.

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