Software Engineer – Forecasting, Scheduling
Assembled Products Corporation
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $135,000 - $280,000 per year
Job Level
Mid-LevelSenior
Tech Stack
GoJavaPandasPythonRust
About the role
- Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine the optimal number of support agents required for specific days and times.
- Designing and implementing interfaces to collect and store team preferences and customer business constraints, enabling the creation of optimal schedules for teams of thousands of support agents based on these forecasts and constraints.
- Enhancing machine learning efficiency and operations to support rapid model deployment and iteration.
Requirements
- Extensive back-end engineering experience in statically typed languages like Go, Java, or Rust.
- Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work.
- Previous experience working on a machine learning or algorithmic team.
- A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling.
Benefits
- Stock options
- Full range of medical benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
GoJavaRustPythonpandasSciPyseabornmachine learningalgorithmic developmentstatistical performance
Soft skills
commitment to performancereliabilityefficiency