数据科学家 实习生
Data Scientist Intern
感谢您考虑在Ensemble的职业发展!
Ensemble是为医疗系统(包括医院和附属医生集团)提供技术驱动的收入周期管理解决方案的领先提供商。他们为全国客户提供端到端的收入周期解决方案以及全面的点解决方案。
Ensemble通过保持医院的健康来维护社区的健康。我们认识到医疗行业需要人性化的关怀,我们相信每一次互动都应有意义。这就是为什么我们的员工是我们最重要的部分。通过赋予他们挑战现状的能力,我们知道他们会成为改变的关键!
O.N.E使命:
- 客户至上:通过理解客户、患者和同事的需求并超越他们的期望,持续提供卓越的体验。
- 拥抱新想法:通过拥抱新兴技术并培养创造力和实验的文化,持续创新。
- 追求卓越:通过展示我们的“KLAS最佳”Ensemble差异原则,以高水平执行并持续交付出色成果。
机会:
我们正在用人工智能解决医疗行业的问题。
您是否热衷于利用人工智能解决医疗行业的复杂问题?您是否希望加入一个用尖端技术变革行业的团队?加入Ensemble Health Partners担任AI工程师,对医疗交付和患者体验产生深远影响。
关于Ensemble Health Partners
Ensemble Health Partners处于医疗创新的前沿,每年在技术研发上投入超过7000万美元。我们拥有11项技术专利和超过5500个已部署的人工智能模型,致力于消除行政复杂性并降低医疗成本。我们的团队包括来自Google和Meta的前员工,我们以初创企业的创业精神运营,同时依托一家价值十亿美元公司的规模和资源。
为什么加入我们?
有意义的工作:您的工作将直接有助于降低医疗成本,改善护理交付并提升患者体验。
创新环境:我们以初创企业的创业精神运营,同时依托一家价值十亿美元公司的规模和资源。
强大的客户基础:我们的解决方案已部署在数百家医院和医疗系统中,因此想法可以迅速产生影响。
初级数据科学家,AI将帮助d
查看英文原文
Thank you for considering a career at Ensemble!
Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E Purpose:
- Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
- Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
- Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
The Opportunity:
We’re solving problems in healthcare with AI.
Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners as an AI Engineer and make a meaningful impact on healthcare delivery and patient experience.
About Ensemble Health Partners
Ensemble Health Partners is at the forefront of healthcare innovation, investing over $70 million annually in technology research and development. With 11 technology patents and over 5,500 deployed AI models, we are dedicated to eliminating administrative complexity and reducing healthcare costs. Our team includes former employees from Google and Meta, and we operate with the entrepreneurial spirit of a start-up backed by the scale and resources of a $1 billion company.
Why Join Us?
Purposeful Work Your work will directly contribute to reducing healthcare costs, improving care delivery and elevating the patient experience.
Innovative Environment We operate with the entrepreneurial spirit of a start-up backed by the scale and resources of a $1 billion company.
Strong Client Base Our solutions are deployed across hundreds of hospitals and health systems, so ideas can quickly make an impact.
The Associate Data Scientist, AI will help develop and support machine learning and artificial intelligence solutions, including predictive analytics and generative AI applications. Working alongside data scientists, software engineers, and product teams, this role will assist with data analysis, model development, experimentation, and solution delivery.
This is an excellent opportunity for someone looking to grow their career in AI and machine learning while working on impactful healthcare challenges. The successful candidate should be eager to learn new technologies, comfortable working with data, and excited to contribute to a collaborative team environment.
Essential Job Functions
- Assist in developing, testing, and improving machine learning and AI models.
- Support data collection, preparation, transformation, and analysis activities.
- Participate in experiments and evaluations to identify opportunities for model improvement.
- Collaborate with product, engineering, and analytics teams on AI-enabled solutions.
- Create reports, dashboards, and visualizations that communicate findings and insights.
- Contribute to documentation, presentations, and knowledge sharing within the team.
- Learn and apply best practices in machine learning, software development, and data science.
- Stay current on emerging AI, machine learning, and generative AI technologies.
Other Preferred Knowledge, Skills and Abilities
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
- Foundational knowledge of statistics, machine learning, and data analysis.
- Experience with Python, SQL, R, or similar programming languages through coursework, internships, research, or personal projects.
- Familiarity with machine learning frameworks such as Scikit-learn, PyTorch, or TensorFlow.
- Interest in generative AI, large language models (LLMs), and retrieval-augmented generation (RAG).
- Ability to work with structured and unstructured data.
- Strong problem-solving and analytical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work effectively both independently and within a collaborative team environment.
Desired Work Experience
- 0–2 years of experience in data science, machine learning, analytics, software engineering, or a related field.
- Relevant internships, research projects, graduate work, capstone projects, or personal projects are highly valued.
Compensation
- $25.00 / hr
CAREER OPPORTUNITY OFFERING:
- Bonus Incentives
- Paid Certifications
- Tuition Reimbursement
- Comprehensive Benefits
- Career Advancement
Join an award-winning company
- Five-time winner of “Best in KLAS” 2020-2022, 2024-2025
- Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
- 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
- Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
- Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
- Energage Top Workplaces USA 2022-2024
- Fortune Media Best Workplaces in Healthcare 2024
- Monster Top Workplace for Remote Work 2024
- Great Place to Work certified 2023-2024
- Innovation
- Work-Life Flexibility
- Leadership
- Purpose + Values
- Innovation
- Work-Life Flexibility
- Leadership
- Purpose + Values
Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
Associate Benefits – We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
Our Culture – Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.
Join an award-winning company
Five-time winner of “Best in KLAS” 2020-2022, 2024-2025
Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
Energage Top Workplaces USA 2022-2024
Fortune Media Best Workplaces in Healthcare 2024
Monster Top Workplace for Remote Work 2024
Great Place to Work certified 2023-2024
- Innovation
- Work-Life Flexibility
- Leadership
- Purpose + Values
Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
- Associate Benefits – We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
- Our Culture – Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
- Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
- Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.
Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.
Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact .
This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.
Employment Disclaimers – Ensemble
Originally posted on Himalayas