Callaway Golf is the leading manufacturer of premium golf clubs and accessories worldwide. They are seeking an Associate Data Scientist to apply data science skills to manufacturing and supply chain operations, collaborating with engineers to optimize processes and drive efficiency.
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
Qualification
Required
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
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.
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.
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.
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.
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.
Preferred
Benefit
Callaway Golf is the leading manufacturer of premium golf clubs, balls, performance gear and accessories worldwide.
