Senior Data Scientist, Fraud
Mercury
ETLPythonSQL
Staff Data Scientist, Supply and Demand
Foodsmart
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $160,000 - $180,000 per year
Job Level
Lead
Tech Stack
AWSPandasPythonScikit-LearnSQL
About the role
- Develop and own the foundational models for a two-sided marketplace, focusing on interplay of patient demand and RD supply
- Build, deploy, and own the company’s core Supply & Demand models and deliver a leadership dashboard to drive marketing focus and RD recruiting
- Partner with FP&A to provide core models as inputs into revenue and forecasting processes
- Utilize Monte Carlo simulation, time-series forecasting, and mixed-integer programming to model scenarios and recommend optimal strategies
- Develop an end-to-end demand forecasting and workforce planning model integrating marketable lives, marketing conversion dynamics, RD state licensure requirements, and supply constraints
- Collaborate with engineering to productionalize models ensuring scalability and system integration
- Partner closely with leadership across Marketing, Finance, and Clinical Operations to translate insights into strategic business decisions
- Serve as subject matter expert on marketplace dynamics and effectively communicate findings to executive audiences
Requirements
- Bachelor’s degree in a quantitative or technical field (e.g., Economics, Operations Research, Statistics, Computer Science); Master’s degree is a plus
- 8+ years of experience in data science with a proven track record of building models to solve complex marketplace, supply chain, or logistics problems
- Expert-level proficiency in Python (pandas, scikit-learn, PuLP, etc.)
- Proficiency in SQL
- Hands-on experience with dbt for data modeling and BI dashboard development
- Understanding of FP&A revenue modeling and strong Excel skills
- Deep expertise in predictive modeling, optimization techniques, and measuring impact
- Experience in a strategic data science role responsible for foundational analysis, operational reporting, and development of production models
- Experience partnering with engineering to deploy models into production (experience with AWS SageMaker is a plus)
- Excellent communication skills with the ability to distill complex models and analyses into clear, actionable recommendations for executive audiences
Benefits
- Remote-First Company
- Unlimited PTO
- Flexible & remote location
- Healthcare Coverage (Medical, Dental, Vision)
- 401k, bonus, & stock options
- Registered Dietitian Sessions
- Wellness reimbursement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemodel buildingpredictive modelingoptimization techniquesPythonSQLdbtExcelMonte Carlo simulationtime-series forecasting
Soft skills
communicationcollaborationleadershipstrategic thinkingproblem-solving
