Data Scientist
• Role: Data Scientist
• Wok location: St. Louis, Missouri(Onsite/Hybrid)
• Type: Contract C2C/W2
• Local Profile Are Highly preferred
• Experience: 11+ Years
Must Have: Exposure to Field workforce forecasting using machine learning (ML).
Job Description:
• Analyse large, complex datasets from field operations to identify trends, inefficiencies, and productivity opportunities.
• Develop and deploy predictive models for optimizing field engineer productivity and resource allocation.
• Build and maintain robust forecasting models for demand, capacity planning, and workforce management using machine learning and statistical techniques.
• Collaborate with cross-functional teams (operations, engineering, business stakeholders) to define requirements and implement data-driven solutions.
• Design and conduct A/B tests and experiments to validate process improvements and model assumptions.
• Create clear reports and visualizations to communicate findings and recommendations to stakeholders at all levels.
• Continuously monitor, validate, and improve models to ensure accuracy and relevance in dynamic business environments.
• Role: Data Scientist
• Wok location: St. Louis, Missouri(Onsite/Hybrid)
• Type: Contract C2C/W2
• Local Profile Are Highly preferred
• Experience: 11+ Years
Must Have: Exposure to Field workforce forecasting using machine learning (ML).
Job Description:
• Analyse large, complex datasets from field operations to identify trends, inefficiencies, and productivity opportunities.
• Develop and deploy predictive models for optimizing field engineer productivity and resource allocation.
• Build and maintain robust forecasting models for demand, capacity planning, and workforce management using machine learning and statistical techniques.
• Collaborate with cross-functional teams (operations, engineering, business stakeholders) to define requirements and implement data-driven solutions.
• Design and conduct A/B tests and experiments to validate process improvements and model assumptions.
• Create clear reports and visualizations to communicate findings and recommendations to stakeholders at all levels.
• Continuously monitor, validate, and improve models to ensure accuracy and relevance in dynamic business environments.
