远程工作雷达

数据科学家

Data Scientist

AI开发工程限定地区(需当地身份)
公司Reveleer
薪资$120,000 - $140,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

数据科学家
远程工作机会

关于Reveleer

Reveleer 为健康计划和医疗提供者组织提供一个统一的平台,涵盖风险调整、质量改进、临床智能和成员管理,帮助其应对基于价值的护理的复杂性。全国80多家客户组织信赖该平台,该平台将数据、分析和智能工作流自动化整合到一个受控系统中,旨在支持诊断、质量指标和提交的可追溯文档。Reveleer 以监管专业知识和透明的人机协同 AI 为核心,支持致力于提升护理质量、加强文档完整性并保持运营准备度以自信应对审计的组织。

你将负责:

  • 构建分类和信息提取的机器学习模型
  • 分析丰富的复杂医疗数据,构建并改进现有特征和模型
  • 实现新的解决方案以提升现有模型的性能
  • 与工程团队合作,将 ML 模型部署到生产环境并构建 ML 管道
  • 将前沿的 ML 和 NLP 技术引入现有模型
  • 探索 LLM 解决方案用于我们的 AI 模型

你具备:

  • 本科 + 3-5 年经验 或 硕士 + 1-3 年经验
  • 强大的 Python 技能
  • 强大的 SQL 技能,有查询大型数据集的经验
  • 有构建 ML 解决方案的记录
  • 有使用前沿 AI 技术解决问题的记录
  • 具备批判性思维和创造性的思维方式
  • 快速学习能力,能够跟上最新的 AI 技术
  • 对新 AI 技术充满热情
  • 自我驱动,能够独立工作

我们希望你具备:

  • 自然语言处理经验
  • 大型语言模型经验
  • MLOps 经验
  • ETL 处理经验
  • 云平台(AWS 优先)经验
  • SaaS 公司或医疗行业经验
  • 质量或风险调整经验
  • 医疗数据经验

你将获得:

• 有竞争力的薪资

• 医疗、牙科和视力福利

• 401k 配比

• 宽松的带薪休假计划

我们的薪酬反映了美国多个地区的劳动力成本。薪资基于多种因素,包括市场位置,可能因与工作相关的知识、技能和经验而有所不同。

Reveleer 对所有新员工进行 E-Verify 核查。

Reveleer 是一家平等机会雇主。我们

查看英文原文

Data Scientist
Remote Opportunity

About Reveleer

Reveleer delivers a unified platform spanning risk adjustment, quality improvement, clinical intelligence, and member management for health plans and provider organizations navigating the complexity of value-based care. Trusted by 80+ customer organizations nationwide, the platform integrates data, analytics, and intelligent workflow automation into one governed system designed to support traceable documentation across diagnoses, quality measures, and submissions. With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports organizations working to advance care quality, strengthen documentation integrity, and sustain the operational readiness needed to navigate audits with confidence.

WHAT YOU'LL DO:

  • Build machine learning models in classification and information extraction
  • Analyze rich and complex healthcare data to build and improve upon existing features and models
  • Implement new solutions to improve the performance of the existing modelsWork with engineering teams to implement ML models into production and build ML pipelines
  • Bring in the cutting-edge ML and NLP technologies into the existing models
  • Explore LLM solutions for our AI models

ABOUT YOU:

  • Bachelors + 3-5 years of experience OR Masters + 1-3 years of experience
  • Strong Python skills
  • Strong SQL skills, experience querying large datasets
  • Track record of building ML solutions
  • Track record of using cutting-edge AI technology to solve problems
  • Critical thinking and creative mindset
  • Be a quick learner and keep up to date with new AI technology
  • Passion in new AI technology
  • Self-motivated and be able to work independently

NICE TO HAVE:

  • Experience in natural language processing
  • Experience with large language models
  • Experience in MLOps
  • Experience with ETL processing
  • Experience with cloud (AWS preferred)
  • Experience in SaaS companies or in healthcare
  • Experience in Quality or Risk Adjustment
  • Experience with healthcare data

WHAT YOU’LL RECEIVE:

• Competitive salary

• Medical, Dental and Vision benefits

• 401k match

• Generous PTO plan

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.

Salary: $120,000 – $140,000 / yearOriginally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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