Engineer Product Development - Golf Ball Evaluation

Essential Functions And Key Responsibilities

• Design and execute equipment correlation studies to establish statistically valid transfer functions between measurement instruments.
• Build and maintain gauge R&R (repeatability & reproducibility) protocols to quantify measurement system uncertainty and guide equipment qualification decisions.
• Develop and maintain 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.

Data Architecture & Database Management

• 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.
• Develop and maintain dataflows to provide summarized results to the group.

Analytics, Modeling & Visualization

• 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.

Collaboration & Documentation

• 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.

Knowledge And Skills Requirements

• 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, measurement system analysis (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 some experience in Design of Experiments (DOE).
• Experience with designing and setting up experiments, various data acquisition methods, statistical analysis and report writing.
• Functional knowledge of CAD software for fixture design.
• Basic knowledge of CAE (FEA, 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, compression molding, forging, and coating/plating techniques) a plus.
• Strong communication skills: Must be fluent in English (written and oral), have excellent interpersonal skills; ability to communicate effectively with all levels of the organization (e.g. marketing, sales, engineering, production, tour players).
• Hands-on lab or machine shop experience. Ability to design and fabricate test fixtures independently.
• Proficient in Microsoft Office, including, Word, advanced Excel, Outlook.
• Demonstrated technical problem solving/creative thinking ability.
• Demonstrated ability to work in team environment with willingness to question status quo and demonstrate why proposed change offers an improvement.