Associate Data Scientist - Onsite

ABOUT THE BRAND:

Callaway Golf is the leading manufacturer of premium golf clubs, balls, performance gear and accessories worldwide.  Through an unwavering commitment to innovation, we push the limits of performance and create demonstrably superior products designed to make every golfer a better golfer.

Our company is a blend of experience and diverse backgrounds, and together we look to move the game forward, and we want top-notch people to join us in that mission!

By joining Callaway Golf, you also join part of the portfolio of brands within Topgolf Callaway Brands, an unrivaled tech-enabled Modern Golf and active lifestyle company delivering leading golf equipment, apparel, and entertainment, with a portfolio of global brands including Topgolf, Callaway Golf, TravisMathew, Toptracer, Odyssey, OGIO, Jack Wolfskin, and World Golf Tour (“WGT”). “Modern Golf” is the dynamic and inclusive ecosystem that includes both on-course and off-course golf. For more information, please visit https://www.topgolfcallawaybrands.com

Are you passionate about turning raw data into real-world impact? Callaway Golf is looking for an Associate Data Scientist to join our team at the Chicopee golf ball manufacturing facility—an environment where innovation meets precision. This is a unique opportunity to apply your data science skills directly to manufacturing and supply chain operations, working side-by-side with engineers to solve complex technical challenges, optimize processes, and drive efficiency. We’re looking for someone who not only brings solid experience in Python, SQL, and machine learning fundamentals, but also has an engineering mindset—ideally with a background in mechanical, chemical, or a related field. You’ll build machine learning models, design data pipelines, and deliver insights that shape how our products are made. If you have 1–2 years of experience and the interpersonal agility to thrive in a fast-paced, direct, and collaborative environment—this is your shot.

Key Responsibilities:

• Analyze and interpret large data sets related to manufacturing and supply chain operations to identify trends, patterns, and opportunities for improvement
• Develop statistical models and machine learning algorithms to optimize manufacturing and supply chain processes, reduce costs, and improve efficiency
• Collaborate with cross-functional teams to identify business needs, design experiments, and develop solutions that leverage data analytics and machine learning techniques
• Create and maintain data pipelines and databases to support ongoing data analysis and modeling activities
• Communicate findings and insights to key stakeholders in a clear and concise manner
• Continuously monitor and evaluate model performance to ensure accuracy, efficiency, and effectiveness

Requirements:

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or a related field
• 1+ years of experience working in a data science role, preferably in a manufacturing or supply chain environment
• Strong proficiency in programming languages such as Python or R
• Proficiency in Azure, Snowflake and Airflow
• Expertise in statistical modeling, machine learning, and data visualization techniques
• Experience with database technologies such as SQL and NoSQL
• Familiarity with manufacturing and supply chain processes and systems
• Excellent communication skills and ability to work collaboratively in a cross-functional team environment
• 20% travel required

Technical Skills:

• Proficiency in programming languages: The ideal candidate should have strong programming skills in languages such as Python or R, as these are commonly used for data manipulation, analysis, and modeling. They should be able to write clean, efficient, and scalable code to extract, transform, and load data from various sources, and perform complex data analysis tasks using libraries such as NumPy, Pandas, and SciPy.
• Statistical modeling and machine learning: The candidate should have expertise in statistical modeling and machine learning techniques, including regression analysis, time series forecasting, clustering, classification, and deep learning. They should be able to apply these techniques to real-world manufacturing and supply chain problems, such as demand forecasting, inventory optimization, quality control, and predictive maintenance.
• Data visualization: The candidate should be able to create meaningful and insightful visualizations of complex data sets using tools such as Matplotlib, Seaborn, or Power BI. They should be able to communicate complex analytical results and insights to non-technical stakeholders in an easily understandable and visually appealing manner.
• Database technologies: The candidate should have experience working with database technologies such as SQL and NoSQL to extract and transform data from relational and non-relational databases. They should be familiar with concepts such as normalization, indexing, and query optimization, and be able to design and optimize data schemas for efficient data processing and analysis.
• Manufacturing and supply chain knowledge: The candidate should have a strong understanding of manufacturing and supply chain processes and systems, including procurement, production, logistics, and distribution. They should be able to apply this knowledge to identify opportunities for improvement and optimization and develop data-driven solutions to enhance efficiency and reduce costs.

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DE&I and EEOC:

Inclusion & Diversity: As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day.

If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms, skills are transferable, and passion goes a long way. We know that diverse backgrounds and experiences make for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply. We look forward to learning more about you.

ARE YOU READY TO MAKE THE TURN? APPLY TODAY!