Pomelo Care

Data Scientist, Operations Enablement

Pomelo Care

full-time

Posted on:

Location Type: Office

Location: 🇺🇸 United States

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Salary

💰 $140,000 - $190,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQLTableau

About the role

  • Create, analyze, and visualize foundational data to improve the lives of moms and babies
  • Become an expert in Pomelo’s patient care and clinical outcomes data and help build the data culture
  • Collaborate on designing and implementing systems enabling non-clinical teams (Accounting, Revenue Cycle, Care Operations, Market Operations) to scale
  • Use data to identify and quantify opportunities to automate critical business processes
  • Work with engineers and SMEs to build an AI-driven pipeline to automate the medical coding process (data exploration, modeling, validation, optimization)
  • Define and implement metrics measuring performance of key systems including medical coding and claims submissions
  • Build data-driven approaches for pattern matching claims denials/rejections, documentation quality for billing, and patient eligibility determinations
  • Collaborate cross-functionally and communicate findings to technical and non-technical stakeholders

Requirements

  • 3+ years professional experience in data analytics, data science, data engineering, or statistical analysis involving SQL
  • 3+ years professional experience working in healthcare
  • Proficient in at least one programming language (e.g., Python)
  • Passionate about improving maternal health outcomes
  • Experienced scoping and implementing data-driven solutions to ambiguous problems, prioritizing efficacy over complexity
  • Excited to work cross-functionally across technical and non-technical stakeholders
  • Strong communicator and a keen nose for value
  • Bonus: Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase)
  • Bonus: Experience working with dbt
Benefits
  • Competitive healthcare benefits
  • Generous equity compensation
  • Unlimited vacation
  • Choice between equity and cash

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analyticsdata sciencedata engineeringstatistical analysisSQLPythondata-driven solutionsdata explorationmodelingoptimization
Soft skills
collaborationcommunicationproblem-solvingcross-functional teamworkpassion for maternal healthstrong communicatorkeen sense for value
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