Please note, this posting contains two internship positions.

Intern with the technology, internet, interactive and mobile division of Major League Baseball. In 2015, MLB introduced Statcast, a revolutionary technology that tracks all movements on the field. Statcast automatically tracks every hit ball’s exit speed and distance, every fielder’s range, speed, and arm strength, and every base runner’s movement.

MLBAM is looking for summer interns to join in the continued development and evolution of Statcast. With a wealth of ground-breaking new data and metrics, they are looking for people who can analyze, validate and provide meaningful context around it. This is an excellent opportunity for anyone who has an interest in baseball statistics, metrics, and data.

Position: 2019 Summer Internship – Statcast Data Analytics

This position is located in New York, NY and is a paid internship.

Required Skills and Experience:

• At a minimum current college sophomore entering junior year in the fall of 2019 or Current Grad or MBA student.
• Baseball fan Strongly Preferred.
• Proficiency in SQL, R, or Python.
• Some familiarity with baseball tracking systems, especially Pitch F/X and Statcast.
• Ability/desire to learn new skills and technologies quickly.
• A self-starter that’s highly accountable and will take ownership of delivering your work.
• Critical thinking skills and the ability to apply analytical insights to improve data.
• Self-learner, independent, and have outstanding problem-solving skills.
• Excellent written and verbal communication skills.

To Apply:
To apply, please visit this site and complete the LinkedIn application.

Position: 2019 Summer Internship – Data Science Internship, Baseball Data

This position is located in New York, NY and is a paid internship.

Basic Qualification:

• Undergraduates and Masters students studying Computer Science, Statistics, Mathematics, or other relevant STEM degree.
• A self-starter that’s highly accountable and will take ownership of delivering your work.
• Ability/Desire to learn new skills and technologies quickly.
• Experience with R, Python or SQL.

Preferred Skills:

• Experience programmatically structuring and cleaning data, and not just analyzing highly cleaned data sets.
• A strong foundation in probability, statistics, and algorithm development.
• Understanding of statistical and predictive modeling techniques such as generalized linear modeling, decision trees, association rules, clustering, regression, machine learning, probability networks, and neural networks.
• Experience with numpy, pandas, and scikit Python libraries.
• Excellent verbal and written communication skills.
• Ability and willingness to spend nights and weekends watching baseball while monitoring Statcast data.

To Apply:
To apply, please visit this site and complete the LinkedIn application.

The content in this posting was created and provided solely by MLBAM.