Engineer Product Development - Golf Ball Evaluation

Overview

This position is responsible for building and maintaining the data infrastructure, analytical frameworks, and measurement correlation systems that support golf ball product development and evaluation. The individual will guide development of new test methods that better replicate on-course play by a wide range of golfers. The individual will design scalable data pipelines and databases for physical properties measurements, robot testing, and player performance data.

They will partner closely with the R&D and manufacturing engineering teams to deliver actionable insights, automated reporting, and data structures that accelerate decision-making across the product development lifecycle.

• Design and execute equipment correlation studies to establish statistically valid transfer functions between measurement instruments
• Develop and maintain gauge R&R (repeatability & reproducibility) protocols to quantify measurement system uncertainty and guide equipment qualification decisions
• Build regression and calibration models to translate measurements across platforms, ensuring consistency in cross-site and cross-instrument comparisons
• Flag and investigate measurement drift, anomalies, and data quality issues in an automated fashion

• Contribute to and implement relational and cloud-based databases to centralize golf ball measurement data
• Design scalable schemas that accommodate new data streams as testing capabilities expand, with clear version control and metadata standards
• Build ETL pipelines to ingest data into unified data stores
• Develop and maintain dataflows to provide summarized results to the group

• Perform exploratory and inferential statistical analysis on golf ball performance datasets to identify trends, anomalies, and performance drivers
• Develop interactive dashboards and automated reporting tools to surface key metrics to engineers and product teams
• Analyze player and robot performance data to identify correlations between ball properties and on-course outcomes

• Write clear technical documentation covering data models, pipeline architecture, correlation methodologies, and analytical findings
• Present data-driven findings to cross-functional stakeholders including engineering, product creation, and tour operations teams

• Develop complete understanding of critical product specs and how they relate to product performance
• Develop new tests that replicate on-course play and assist team in evaluating new designs
• Measure and analyze existing ball products and tooling
• Participate in evaluation of new designs/products
• Evaluate automation opportunities to improve testing efficiency and operator ergonomics
• Performs other related duties and assignments as required

• Proven experience designing and querying relational databases (SQL); familiarity with database schema design and normalization
• Experience with data visualization tools to build dashboards and automated reports
• Demonstrated ability to structure ambiguous datasets and define data standards for new measurement programs
• Strong communication skills: ability to translate technical findings into clear narratives for non-technical audiences
• Applied knowledge of statistics: regression analysis, hypothesis testing, ANOVA, MSA/Gauge R&R, and uncertainty quantification
• Excellent working knowledge of MATLAB or equivalent engineering analysis software
• Functional knowledge with larger datasets, creating ETLs
• Knowledge and experience in Design of Experiments (DOE) including experimental design, data acquisition methods, statistical analysis, and report writing
• Working knowledge of statistics with application to product evaluation
• Functional knowledge of CAD software for fixture design
• Basic knowledge of CAE (FEM, CFD)
• Strong organization skills, able to multi-task effectively
• Knowledge of manufacturing methods of products the employee is involved in designing (e.g., casting, injection molding, machining, coating/plating techniques) is a plus
• Strong…