ML Forecasting & Scheduling Engineer

assembledhq; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

Assembled in the United States is seeking a talented individual to enhance their customer support platform through machine learning. The role involves developing forecasting models to predict support contact volumes, designing optimal scheduling systems for thousands of agents, and improving the efficiency of machine learning operations.

The ideal candidate will possess strong skills in Python and experience working in algorithmic teams. Assembled values diverse perspectives and is committed to an inclusive workplace, encouraging all qualified individuals to apply for the role.

Qualifications

• Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work.
• Previous experience working on a machine learning or algorithmic team.
• Strong commitment to advancing statistical and runtime performance.

Responsibilities

• Develop forecasting interfaces, data pipelines, and inference servers to predict support contact volume.
• Design and implement scheduling interfaces for support agents based on forecasts and constraints.
• Enhance machine learning efficiency and operations to support rapid model deployment.

Skills

Python libraries

Data analysis

Machine learning

Statistical performance

Job description

Assembled in the United States is seeking a talented individual to enhance their customer support platform through machine learning. The role involves developing forecasting models to predict support contact volumes, designing optimal scheduling systems for thousands of agents, and improving the efficiency of machine learning operations.

The ideal candidate will possess strong skills in Python and experience working in algorithmic teams. Assembled values diverse perspectives and is committed to an inclusive workplace, encouraging all qualified individuals to apply for the role.