Associate Data Scientist
ArcadiaSalary not specified
Full Time
Entry Level & New Grad
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Health Insurance, SoftwareIndustries
Requirements
Candidates should have several years of experience solving real-world business problems with data and machine learning modeling. A proven ability to make team-level contributions and develop frameworks and tools to improve team efficiency is essential. The ideal candidate must be able to build a high-level, strategic work plan while maintaining attention to detail. Experience in precisely measuring and optimizing the business impact of work, handling large-scale, complex data, and writing production-quality code is required. A deep curiosity about healthcare is also necessary.
Responsibilities
The Data Scientist will master the understanding of various claims payment policies and healthcare concepts. They will build and improve models by thoughtfully curating data and creating features. The role involves precisely measuring and improving model performance against real-world outcomes and making operational recommendations to optimize model results. Additionally, the Data Scientist will interpret and refine large-scale data created by complex business workflows and advance the team’s capabilities by improving pipelines, infrastructure, and tools.
Skills
Machine Learning
Data Curation
Feature Engineering
Model Performance Measurement
Data Pipelines
Infrastructure
Tools Development
Machinify
AI-driven solutions for healthcare administration
About Machinify
Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.
Palo Alto, CaliforniaHeadquarters
2016Year Founded
$15.2MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees
Benefits
Medical, dental, & vision
Flexible work environment
Generous PTO
Competitive salary
Equity
401(k)
Sponsorship
Generous L&D Reimbursement policy
Risks
Integration challenges with Evolent Health could disrupt Machinify's operations.
Slow adoption of new technologies in healthcare may hinder Machinify's rapid deployment.
Reliance on a few large clients poses a risk if they switch providers.
Differentiation
Machinify leverages AI to optimize healthcare decision-making and administrative processes.
The company offers rapid deployment of AI applications for immediate ROI in healthcare.
Machinify's AI platform addresses the entire healthcare claims lifecycle efficiently.
Upsides
AI-driven automation in healthcare claims processing is gaining significant traction.
The healthcare AI market is projected to reach $45.2 billion by 2026.
Machinify's AI solutions reduce administrative costs and improve patient care access.
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