Principal Scientist Golf Ball R&D - Titleist

Responsibilities

• What You Bring
• M.S. in Mechanical Engineering, Applied Mathematics, Physics, or a related field required; Ph.D. strongly preferred.
• 10+ years of experience in a fast‑paced R&D environment with iterative design cycles; proven ability to solve complex, multidisciplinary problems.
• Strong expertise in physics, mechanical systems, advanced mathematics, data analysis, and statistical methods.
• Demonstrated proficiency in FEA, computational modeling, or theoretical performance prediction; experience with fluid dynamics, aerodynamics, and/or CFD tools.
• Experience with machine learning, AI, or advanced data science workflows.
• Deep expertise in MATLAB for simulation and analysis; proficiency in Python, R, C++, C#, or similar languages.
• Hands‑on experience with high‑speed camera systems, image‑based measurement, and data interpretation.
• Background or strong familiarity with golf and golf ball performance fundamentals.
• Strong communication skills with the ability to present complex technical insights to diverse audiences.
• Understanding of intellectual property landscapes and innovation processes, with experience contributing to defensible IP.
• Our Commitment to You
• Our financial benefits are designed to secure your future, offering a 401k with company match, health savings accounts, and flexible spending accounts.
• Additionally, you'll enjoy perks like pet insurance, legal planning, education assistance, and exclusive access to our Associate Store. At Acushnet Company, your performance has purpose, and we're here to support you every step of the way.
• Pay Range: $138,424.00-$176,585.00
• Ready to Make an Impact?
• Join us at Acushnet Company and be part of a team that values excellence and innovation.
• Describe a complex R&D problem you've worked on that required integrating physics‑based modeling (e.g., FEA, CFD, or impact mechanics) with experimental data. How did you design the experiments, validate the models, and use the results to drive a final design or performance decision?
• How have you used advanced data analysis techniques such as machine learning or statistical modeling to uncover performance insights or guide product innovation? Can you share an example where this work contributed to a patentable concept or strengthened an organization's IP strategy?
• EEO and Additional Statements
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Benefits

Additional Information

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose.

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