R&D Intern - Product Analytics

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

Key Responsibilities:

Product Analysis & Optimization:

• Assist in analyzing product algorithms to identify performance trends and areas for improvements.
• Contribute to the development and execution of testing strategies that assess algorithm and robustness under different conditions.
• Support optimization initiatives by providing data driven insights on product performance.

Product Performance Monitoring & Testing:

• Help develop and maintain dashboards to track key product performance indicators(KPIs)
• Monitor product usage and performance data in real-time, identifying trends, anomalies, and opportunities for optimization.
• Conduct in-depth analysis of user behavior and engagement metrics to derive actionable insights.
• Assist to develop tools, test cases and programs to automate processes during various stages of product life cycle.
• Conduct in-office and field experiments to validate product performance and identify solutions to potential challenges.

Data Analysis & Insights:

• Perform data analysis to evaluate the effectiveness of product features and algorithms, providing key insights to guide decision making.
• Conduct root-cause analysis to identify performance bottlenecks and assisting in the development of corrective actions.
• Collaborate with cross-functional teams to share insights and contribute to product improvement strategies.

• Bachelor's degree in computer science, Software Engineering or AI. Advanced degrees (Master’s, PhD) a plus.
• 2+ years of experience in product analytics, performance analysis, or engineering role.
• Strong background in working with data-driven performance metrics.
• Proficient in data analysis tools and languages such as SQL, Python, R, or similar.
• Experience with performance monitoring tools, A/B testing, and metrics tracking.
• Familiarity with machine learning algorithms and their application in product optimization is a plus.
• Strong analytical skills with the ability to analyze large datasets and derive actionable insights.
• Experience with algorithm testing and optimization in a real-world product environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to translate complex data into clear insights for non-technical stakeholders.
• Strong knowledge of or interest in Baseball or softball is a strong plus