
Senior Data Scientist II – Healthcare Data
Particle Health
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $205,000 - $225,000 per year
Job Level
Tech Stack
About the role
- Work spans data product development, analytics, data science and machine learning, and data visualization.
- Work with product and engineering leadership to create product features and analyses.
- Collaborate with other data scientists, data engineers and clinical experts to create new models, features, and data products.
- Work on both AI / Machine Learning projects, as well as analytics projects.
- Support presales efforts and explore new use cases for our data.
- Improve Data Quality - Identify gaps in data and help find ways to fill them.
- Solve problems through in-house efforts and creative partnerships.
Requirements
- Extensive experience working with healthcare data (especially EHR and / or Claims data, ADTs).
- Proven ability to translate business goals and domain understanding into analytics strategies, utilizing both supervised and unsupervised analytics techniques effectively.
- A natural curiosity and passion for problem solving.
- Creativity in addressing data limitations.
- Strong technical experience: SQL is a core part of daily workflows.
- Commitment to seeing projects through from ideation to implementation.
- Ability to translate complex technical concepts into accessible language for nontechnical-stakeholders.
Benefits
- 100% employer-paid health benefits for you and generous coverage for your family.
- Employer-funded 401(k) match to help you build a secure future.
- Mental health benefits to support your well-being.
- Unlimited PTO and a flexible, fully remote work setup, giving you control over your schedule.
- Employee equity, ensuring you share in the company’s success.
- Access 14 weeks of fully paid parental leave, so you can focus on what matters most.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data product developmentanalyticsdata sciencemachine learningdata visualizationSQLsupervised analytics techniquesunsupervised analytics techniquesdata quality improvementproblem solving
Soft Skills
creativitynatural curiositypassion for problem solvingability to translate complex conceptscollaborationcommitment to project completion