Position: Washington Nationals Baseball Research & Development Analyst

Location: Washington DC

Description:
The Washington Nationals are seeking a data analyst to join the organization’s Baseball Research and Development team. This role will focus on using data science to support Baseball Operations in player evaluation, roster construction and in-game tactics. This includes using machine learning techniques and predictive modeling to draw insights from our in-house baseball datasets. The analyst will work closely with the existing R&D team, including other analysts and developers, to design and build decision-support systems and tools for use throughout the organization.

Responsibilities:

• Statistical modeling of baseball data.
• Build automated solutions to import, clean, and prepare baseball datasets for downstream analyses.
• Create informative visualizations of our baseball datasets.
• Assist in the maintenance of our data warehouse.
• Build information systems to support Baseball Operation’s efforts to improve player health and performance.
• Review of public research in both baseball and data science.

Qualifications:

• Advanced degree in statistics, computer science, machine learning or a related field, or equivalent Military experience.
• Demonstrated expertise with R and/or Python.
• Demonstrated experience with modern database technologies such as MySQL and PostgreSQL.
• Experience with GNU/Linux and shell scripting.
• Experience with baseball data and understanding of sabermetric concepts is preferred.
• Familiarity with machine learning techniques is strongly preferred.
• Familiarity with statistical inference is preferred.
• Highly motivated with excellent attention to detail.
• Creative and analytical thinker.

To Apply:
Please apply here. When you apply, you will be asked to answer two additional questions.