Medicare Stars Senior Data Scientist - Work From Home

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At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. Job Summary This position is responsible for providing advanced mathematical and statistical methods to solve complex business problems with minimal direction while supporting the analytics strategy for HCSC’s Medicare Stars program. Senior Data Scientists collect, integrate, and analyze data from healthcare claims, clinical outcomes, quality measures, provider performance, member outcomes, and internal business processes to identify opportunities to improve Medicare Star Ratings. The role performs complex statistical analysis to validate and quantify trends, adapts machine learning, predictive modeling, and probabilistic methods to develop predictive algorithms, and verifies model effectiveness based on real-world results. Senior Data Scientists design experiments and methodologies, create visualizations and analytical applications, and translate findings into actionable recommendations that support critical business decisions, program enhancements, and new quality improvement initiatives. Working closely with clinical, pharmacy, customer experience, product, and operations teams, this individual will represent the data science perspective on cross-functional teams, contribute to consequential decisions, and help drive innovative solutions that improve member outcomes, Stars performance, affordability, and enterprise value. Required Job Qualifications: Bachelor’s degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master’s degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 7 years experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field. Strong learning and growth mindset Customer focus Strong interpersonal, verbal and written communication skills. Proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare. Preferred Job Qualifications: Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience. Experience with diverse healthcare data preferred, including claims, EHR, demographic, pharmacy, lab, biometrics, genomics, and text. Experience with statistical software program such as SAS, Dataiku, R and/or Python is required.• Statistical and/or data mining experience in propensity score modeling, multivariate regression, machine learning Comprehension of healthcare data (e.g., claims, utilization, provider information) and demonstrated understanding of health care and delivery system processes. Location: This is a fully remote position based in the US only. Sponsorship is not available #INAK Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process! Pay Transparency Statement: At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robus

在HCSC，我们的员工是业务的基石，也是我们成功的基础。我们为员工提供精心策划的发展计划，促进成长并推动有价值、充实的职业生涯。加入HCSC，成为一家以使命驱动、投资于您职业发展的公司的一员。职位摘要该职位负责提供先进的数学和统计方法，以在最少的指导下解决复杂的业务问题，同时支持HCSC的Medicare Stars项目的分析策略。高级数据科学家收集、整合和分析来自医疗索赔、临床结果、质量指标、提供者绩效、会员结果和内部业务流程的数据，以识别改善Medicare Star Ratings的机会。该角色执行复杂的统计分析以验证和量化趋势，采用机器学习、预测建模和概率方法开发预测算法，并根据实际结果验证模型有效性。高级数据科学家设计实验和方法论，创建可视化和分析应用程序，并将发现转化为可操作的建议，支持关键业务决策、项目改进和新的质量改进计划。该个人将与临床、药房、客户体验、产品和运营团队密切合作，在跨职能团队中代表数据科学视角，为重要决策做出贡献，并帮助推动创新解决方案，改善会员结果、Stars绩效、可负担性和企业价值。所需职位资格：学士学位及3年在数学、统计、计算机科学、工程、物理、经济学或相关定量领域的工作经验；或精算资格；或硕士学位及2年在数学、统计、计算机科学、工程、物理、经济学或相关定量领域的工作经验；或数学、统计、计算机科学、工程、物理、经济学或相关定量领域的博士学位；或在数学、统计、计算机科学、工程、物理、经济学或相关定量领域7年经验。强大的学习和成长心态以客户为中心强大的人际交往、口头和书面沟通能力。精通以下六个领域中的至少四个：1）数据分析和关系型查询语言；2）机器学习和/或统计建模；3）数据可视化；4）高级编程语言；5）分布式计算；6）对医疗保健的理解。首选职位资格：定量领域的硕士或博士学位，或具有丰富医疗保健经验的学士学位。优先考虑具有多样化医疗保健数据经验，包括索赔、EHR、人口统计、药房、实验室、生物识别、基因组学和文本。需要具有统计软件程序经验，如SAS、Dataiku、R和/或Python。• 在倾向评分建模、多变量回归、机器学习方面的统计和/或数据挖掘经验理解医疗保健数据（例如，索赔、利用率、提供者信息）并展示对医疗保健和交付系统流程的理解。地点：这是一个仅限美国境内的完全远程职位。不提供赞助 #INAK 有人推荐您申请我们的某个职位吗？如果是，请向您在HCSC的联系人询问我们的员工推荐流程！薪酬透明度声明：在Health Care Service Corporation，您将成为一个致力于为员工提供有意义福利的组织的一部分，以支持他们在工作之外的生活。从健康和保健福利、401(k)储蓄计划、养老金计划、带薪休假、带薪育儿假、残疾保险、补充人寿保险、员工援助计划、带薪假期、学费报销，以及其他激励措施，我们提供强大的

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