Lead Data Scientist, Service Events & Insights

What you'll do

• Lead the design and execution of advanced analytics to translate large-scale service data into business insights.
• Direct data acquisition, transformation, and modeling efforts across complex, high-volume datasets.
• Develop, deploy, and optimize machine learning models and statistical analyses to improve service outcomes.
• Apply natural language processing and predictive modeling to extract value from structured and unstructured data.
• Investigate data model optimization, algorithm performance, and analytical methodologies to improve solution effectiveness.
• Communicate insights and recommendations through data visualization and storytelling for various organizational levels.
• Serve as a technical thought leader by guiding best practices in data science and experimentation.

What we're looking for

• Knowledge of machine learning principles, technologies, and algorithms to develop and deliver related systems.
• Proficiency in using programming languages to write and modify code for data tasks.
• Knowledge of business statistics to describe results in measurable scales and assist in business decisions.
• Ability to use data management systems to search, extract, and format data for further use.
• Ability to perform analytical thinking to determine root causes of organizational problems and create alternative solutions.
• 4-year college degree in Business, Engineering, Data Science, Mathematics, or a related field, or equivalent experience (preferred).
• Deep expertise in statistical analysis and machine learning techniques to solve complex business problems (preferred).
• Strong proficiency in Python, R, and SQL with experience productionizing analytical solutions (preferred).