Direct links to applications (please see job details below):

Tech Lead – Baseball Systems
Data Scientist – Research and Development

The Pirates Why
The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:

• purposefully developing a player and people-centered culture;
• deeply connecting with our fans, partners, and colleagues;
• passionately creating lifetime memories for generations of families and friends; and
• meaningfully impacting 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 centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.

Tech Lead – Baseball Systems

Job Summary
We are looking for a Tech Lead to guide the next evolution of our internal baseball decision-making platform. This web-based system equips players, coaches, analysts, and executives with the insights they need to make better, faster decisions. You’ll be combining bleeding edge ML research with the latest in baseball statistics. You’ll pair hands-on engineering with technical leadership: setting the bar for code quality, modern architectures, and DevOps practices while mentoring a high-performing team of software and data engineers.

Responsibilities
Primary

1. Ensure every baseball systems feature is intuitive, reliable, and delivers measurable impact.
2. Design clean, scalable architectures and champion 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. Partner with data scientists, analysts, software engineers, and front-office leaders to translate baseball strategy into resilient software and ML pipelines.
5. Model fast, high-quality execution—from building custom React components to tuning data services or ML workflows—and see initiatives through from concept to delivery.
6. Mentor engineers of varying experience levels, promoting knowledge sharing, thoughtful code review, and continuous improvement.
7. Champion an Agile product development process that balances experimentation, user feedback, and operational excellence.
8. Keep a relentless focus on features that strengthen the organization’s competitive edge.

Qualifications
Required:

1. Authorized to work lawfully 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 across departments.
4. Familiarity with building and operating ML pipelines or advanced analytics services alongside traditional application development.
5. Track record of shipping full-stack web applications in data-driven, end-user centric environments.
6. Proven success leading engineering teams, designing technical implementations, and mentoring others to deliver 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 across the stack—from front-end polish to backend services and data workflows.

Desired:

1. Hands on experience in Statistical Learning or AI Development
2. Deep curiosity about baseball and how data, analytics, and technology inform 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.

To Apply
To apply, please follow this link.

Data Scientist – Research and Development

Job Summary
As a Data Scientist on the Pirates Research & Development team, you will help transform 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 across Baseball R&D as well as other stakeholders across Baseball Operations (scouts, coaches, player development, front office) to turn your statistical and machine learning models into actionable decision tools.

Responsibilities:

1. Design, build, validate, and deploy 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 understandable by coaches, players, and decision-makers.
3. Communicate results and insights clearly to both technical and non-technical audiences.
4. Partner with data engineers to build scalable data pipelines and maintain data quality.
5. Stay abreast of new data sources, analytical techniques, and research.
6. Help the organization experiment, learn, and iterate.

Qualifications
We recognize that no candidate will meet every qualification listed below. If you are excited about this role and believe you can add value to our work, we encourage you to apply even if your experience does not align perfectly with every requirement.
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 written and verbally.
5. Demonstrated experience collaborating with others on data science projects.
6. Authorized to work lawfully 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. Prior experience in sports analytics context; baseball is a plus.
5. Experience with database languages (e.g., SQL) and working with large / relational datasets.

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.

To Apply
To apply, please follow this link.

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