Remote Baseball Statistician information
See salary details
$50.5K - $56.5K
5% of jobs
$60.8K is the 25th percentile. Wages below this are outliers.
$56.5K - $62.5K
27% of jobs
$62.5K - $68.5K
1% of jobs
$68.5K - $74.5K
6% of jobs
$74.5K - $80.5K
1% of jobs
$80.5K - $86.5K
0% of jobs
$86.5K - $92.5K
0% of jobs
The median wage is $95.5K / yr.
$92.5K - $98.5K
18% of jobs
$102.5K is the 75th percentile. Wages above this are outliers.
$98.5K - $104.5K
24% of jobs
$104.5K - $110.5K
0% of jobs
$110.5K - $116.5K
17% of jobs
How much do remote baseball statistician jobs pay per year?
As of Aug 21, 2026, the average yearly pay for remote baseball statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.
Remote baseball statisticians are professionals who collect, analyze, and interpret baseball data from a remote location, often using digital tools and software. They track player and team statistics, maintain databases, and provide insights for broadcasts, teams, or sports organizations. Their work is essential for informing player evaluations, game strategy, and media coverage. Many remote baseball statisticians work for sports analytics companies, media outlets, or Major League Baseball (MLB) itself.
To thrive as a Remote Baseball Statistician, you need strong analytical abilities, deep knowledge of baseball rules and statistics, and typically a degree in mathematics, statistics, or a related field. Familiarity with statistical software (such as R or SPSS), database tools, and the use of advanced baseball analytics platforms like Statcast is essential. Attention to detail, strong communication skills, and the ability to work independently are crucial soft skills for this remote role. These competencies ensure accurate data analysis, meaningful insights, and effective collaboration with teams and media from a remote setting.
Remote baseball statisticians often face challenges such as coordinating with on-site staff, ensuring real-time accuracy, and managing data from multiple sources. Effective communication tools and regular check-ins with the team can help mitigate misunderstandings or data discrepancies. Familiarity with advanced statistical software and strong attention to detail are essential for maintaining data integrity in a remote environment. Additionally, staying organized and setting up a dedicated workspace can make managing live data and deadlines much more manageable.
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