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Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist - Workforce Planning & Scheduling (Mortgage & Call Center Operations) in the United States. 
 
We are seeking a Data Scientist specializing in workforce planning and scheduling to drive efficiency and operational excellence in mortgage and call center operations. In this role, you will design and implement intelligent staffing and scheduling systems that dynamically align workforce capacity with demand, optimize loan officer coverage, and ensure compliance with labor regulations. You will leverage predictive analytics, optimization algorithms, and automation tools to improve responsiveness, maximize revenue potential, and enhance customer experience. The ideal candidate combines deep expertise in workforce management with advanced technical skills in data science, modeling, and scheduling optimization. This position provides a high-impact opportunity to influence operational strategy in a fast-paced, customer-centric environment. 
 
Accountabilities 
 
As a Data Scientist - Workforce Planning & Scheduling, you will: 
 

* Design and manage shift schedules and crew rotations that optimize productivity while ensuring compliance with licensing, labor laws, and internal policies
* Develop and implement optimization models using constraint-based, linear, and mixed-integer approaches to enhance call center and mortgage operations
* Create predictive models for staffing needs based on lead flow, loan volumes, historical trends, and marketing campaigns
* Build dashboards and analytics tools to monitor schedule adherence, utilization, SLA compliance, and overall workforce efficiency
* Collaborate with Sales, Operations, and Technology teams to align workforce plans with business goals, seasonal trends, and customer demand
* Partner with technology teams to implement real-time optimization, predictive analytics, and automated scheduling workflows
* Continuously refine scheduling strategies using data-driven insights to improve operational outcomes and customer satisfaction 
 
 
 

Requirements 
 
The ideal candidate will have: 
 

* Bachelor's degree in Operations Research, Industrial Engineering, Data Science, or related field (Master's preferred)
* 2+ years of experience in workforce optimization, crew scheduling, or operations planning in high-complexity environments such as BPOs, airlines, or hospitals
* Proficiency in SQL and Python for data manipulation, modeling, and automation
* Hands-on experience with optimization solvers like Gurobi, CPLEX, AMPL, or Google OR-Tools
* Strong understanding of scheduling algorithms, constraint-based optimization, and workforce management systems
* Experience in mortgage or call center operations is a plus
* Excellent analytical, problem-solving, communication, and stakeholder management skills
* Preferred: expertise in mixed-integer linear programming, large-scale optimization modeling, and AI/ML-driven forecasting or scheduling tools 
 
 
 

Benefits 
 
This role offers: 
 

* Competitive annual compensation estimated between $150,000 - $250,000 (varies by location)
* Comprehensive benefits including medical, dental, vision, and life insurance
* 401(k) with company matching
* Paid time off and 12 paid holidays per year
* Disability insurance, employee discounts, referral bonuses, and paid training
* Opportunity to lead high-impact projects and influence workforce strategy in a fast-paced, data-driven environment
* Flexible and collaborative work culture supporting professional development 
 
 

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!