Senior Baseball Analytics & Research Lead

Minnesota Twins ⚾️ ??; United States; Sur place; USD 85 000 - 95 000; Plein temps

Avantages offerts par ce poste

Healthcare

Retirement contributions

Paid leave

Performance-related bonus eligibility

Résumé du poste

The Minnesota Twins are recruiting a Senior Analyst, Baseball Research to lead advanced statistical research, player evaluation and analytical modelling across Baseball Operations. The role combines technical research leadership, evidence-based decision support and mentoring of junior analysts.

You will analyse player and ball-tracking data, develop models for batting, pitching and defence, and build tools to support recruitment decisions and data pipelines.

Qualifications

• 3+ years' experience in statistical modelling, data analysis or quantitative research.
• Graduate degree in a quantitative discipline or equivalent professional experience.
• Proficiency in Python, R, SQL or similar programming languages.
• Experience designing research and analysing complex datasets.
• Ability to communicate technical findings effectively.

Responsabilités

• Analyse player and ball-tracking data.
• Develop models evaluating batting, pitching and defence.
• Support player development, scouting and recruitment decisions.
• Build and improve analytical models, data pipelines and reporting tools.
• Mentor analysts and translate research into actionable insights.

Connaissances

Statistical modelling

Data analysis

Quantitative research

Communication

Formation

Graduate degree in a quantitative discipline

Outils

Python

R

SQL

Description du poste

The Minnesota Twins are recruiting a Senior Analyst, Baseball Research to lead advanced statistical research, player evaluation and analytical modelling across Baseball Operations. The role combines technical research leadership, evidence-based decision support and mentoring of junior analysts.

You will analyse player and ball-tracking data, develop models for batting, pitching and defence, and build tools to support recruitment decisions and data pipelines.