Senior Data Scientist, Insights
TRM Labs
PythonSQL
Data Scientist – Workforce Planning & Scheduling, Mortgage, Call Center Operations
AmeriSave Mortgage Corporation
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $250,000 per year
Job Level
JuniorMid-Level
Tech Stack
PythonSQL
About the role
- Design shift schedules and crew rotations that maximize productivity while adhering to compliance, licensing, and labor regulations.
- Architect and implement optimization models tailored to mortgage and call center workflows, incorporating constraints such as licensing, skill sets, shift preferences, and regulatory compliance.
- Design scheduling strategies that maximize loan officer availability during peak lead times, ensuring high pullthrough and conversion rates.
- Apply state-of-the-art techniques on constraint-based optimization, linear/mixed integer optimization, fatigue modeling, skill-based routing to mortgage and call center workflows.
- Develop predictive models for staffing needs based on loan volume forecasts, lead flow, historical trends, and marketing campaigns.
- Ensure all scheduling practices comply with federal/state labor laws, licensing requirements, and internal policies.
- Develop dashboards and analytics tools to monitor schedule adherence, utilization, SLA compliance, and staffing efficiency.
- Use data-driven insights to continuously refine scheduling strategies and improve outcomes.
- Collaborate with Sales, Operations and Technology teams to align workforce plans with business goals and seasonal trends.
- Partner with the Technology team to integrate real-time optimization, predictive analytics, and automated scheduling workflows.
Requirements
- 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 (e.g., airlines, hospitals, BPOs).
- Fluency in SQL and Python for data manipulation, modeling, and automation.
- Hands-on experience with optimization solvers such as Gurobi, CPLEX, AMPL, Google OR-Tools, or similar.
- Strong proficiency in scheduling algorithms, constraint-based optimization, and workforce management systems.
- Experience in mortgage or call center operations is a strong plus.
- Excellent communication and stakeholder management skills.
Benefits
- 401(k)
- Dental insurance
- Disability insurance
- Employee discounts
- Health insurance
- Life insurance
- Paid time off
- 12 paid holidays per year
- Paid training
- Referral program
- Vision insurance
- Referral bonuses
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
workforce optimizationcrew schedulingoperations planningconstraint-based optimizationlinear optimizationmixed integer optimizationfatigue modelingpredictive modelingscheduling algorithmsdata manipulation
Soft skills
communicationstakeholder management
