Proven experience (11+ years) in data science, with a strong background in applied machine learning and statistical modeling.
Demonstrated expertise in workforce forecasting, particularly within field operations environments.
Proficiency with tools and languages such as Python, R, SQL, and ML libraries (e.g., scikit-learn, TensorFlow).
Experience with data visualization platforms (e.g., Power BI, Tableau).
Strong problem-solving skills and ability to translate complex data into business insights.
Excellent communication and collaboration abilities across cross-functional teams.
Proven experience (11+ years) in data science, with a strong background in applied machine learning and statistical modeling.
Demonstrated expertise in workforce forecasting, particularly within field operations environments.
Proficiency with tools and languages such as Python, R, SQL, and ML libraries (e.g., scikit-learn, TensorFlow).
Experience with data visualization platforms (e.g., Power BI, Tableau).
Strong problem-solving skills and ability to translate complex data into business insights.
Excellent communication and collaboration abilities across cross-functional teams.