Software Engineer - Forecasting & Scheduling (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

17 Dec, 25

Salary

280000.0

Posted On

18 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Forecasting, Scheduling, Data Pipelines, Predictive Models, Scheduling Algorithms, MLOps, Back-end Engineering, Go, Java, Rust, Python, Machine Learning, Statistical Libraries, Problem-solving, Communication Skills

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer - Forecasting & Scheduling in the United States. We are seeking a highly skilled Software Engineer to build and optimize forecasting and scheduling systems for large-scale customer support operations. In this role, you will design robust data pipelines, predictive models, and scheduling algorithms to ensure the right number of support agents are available at the right time. You will collaborate closely with engineering, data science, and operations teams to deliver performant and reliable solutions. The position offers the opportunity to impact critical workflows, improve operational efficiency, and contribute to a platform that serves thousands of agents and millions of customer interactions. Ideal candidates are passionate about high-performance software, machine learning, and solving complex scheduling challenges at scale. Accountabilities Develop and maintain forecasting systems to predict support contact volume accurately. Build interfaces and data pipelines to translate forecasts into optimal staffing schedules. Design and implement scheduling algorithms that account for team preferences, business constraints, and labor laws. Optimize MLOps processes to ensure rapid model deployment, iteration, and reliability. Collaborate cross-functionally with engineering, ML, and operations teams to deliver end-to-end solutions. Ensure high performance, scalability, and reliability across forecasting and scheduling systems. Extensive back-end engineering experience with statically typed languages such as Go, Java, or Rust. Familiarity with Python and ML/statistical libraries such as pandas, SciPy, and seaborn. Previous experience on machine learning, algorithmic, or optimization-focused teams. Strong understanding of forecasting, scheduling, and combinatorial optimization problems. Passion for high-performance software and statistical accuracy in large-scale systems. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication skills to work effectively across teams. Competitive base salary ($135K–$280K, depending on experience and location). Stock options as part of the compensation package. Full medical, dental, and other benefits. Remote work flexibility across the United States. Opportunity to work on impactful, large-scale operational challenges. Collaborative, innovative, and supportive team culture. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Develop and maintain forecasting systems to predict support contact volume accurately. Build interfaces and data pipelines to translate forecasts into optimal staffing schedules.