Accompany Health is on a mission to give low-income patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice. 
We build long-term relationships with our patients so they know, without question, that our team is here for them day or night, year after year. We focus on the health outcomes most important to our patients to make it clear that they lead the way.
To achieve our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive. 
While our headquarters is in Bethesda, MD, our teams are distributed across the country.  If you’re eager to make a tangible difference in people’s lives, to help correct long-standing disparities in health care, join us. 
About the role:
The AH team is looking for a Senior Data Scientist who will be:- A mission-critical, early part of our growing product team (and company)- Working with talented product, engineering, clinical and operations teams that come from a variety of backgrounds- Building data, analytics, and AI/ML-enabled products that help improve healthcare access and delivery for populations with high healthcare needs and from marginalized populations

Responsibilities will include:

• Act as data science champion across all functions at AH, working to understand the primary business objectives across these functions and applying your DS acumen to solve for them.
• Serve as a highly-collaborative thought partner across product, engineering, and clinical operations on all things data.
• Demonstrate excellence in your understanding of the healthcare domain and related data assets (i.e., claims, EHR data, clinical notes, and imaging), as well as ML/AI applications.
• Develop and maintain scalable data/feature engineering pipelines using tools such as SQL, Spark, Python, and Feature Stores.
• Identify, implement, and maintain appropriate ML & AI techniques for a wide variety of healthcare-related business use cases. These will include but not be limited to predicting healthcare utilization, clinical segmentation, sentiment analysis, and applications of NLP/LLMs to drive business value.
• Deploy optimal models to production, using model versioning and registries in AWS SageMaker.
• Develop and maintain a system for continuous, automated feedback and optimization across model deployments. This will include model experimentation, as well as continuous monitoring for model/data drift and performance.
• Work within the DS team to contribute to process improvement and best practices which drive transparency, reproducibility, and scalability of DS-related activities.
• Commit to a culture of continuous growth by keeping abreast of state-of-the-art methods, participating in regular DS working sessions, and mentoring others.

What makes you a fit for the team:

• You approach your work with humility and flexibility, recognizing that our system of care will need to learn and adapt to the needs of patients with complex needs
• You show empathy for the needs of patients, clinicians, and your colleagues to change the fundamental paradigm of care delivery for marginalized patients
• You have a distinctive ability to get a highly cross-functional group of stakeholders – technical and non-technical – on the same page
• Your curiosity drives you to be an expert of your data and analytic products and you strive to elevate your peers and the company as a learning organization
• You focus on getting things done in the most effective, efficient manner for the task at hand – rather than following a specific process for its own sake
• You have the resilience to dive headfirst into challenging problems – healthcare is complicated and there’s a lot to be fixed
• You are excited to work in a startup environment, with the ambiguity and shifting priorities that might come with it at times

Desired skills and experience:

• Required:
• 3-5 years experience in health data science, ML, & AI
• Strong command of multiple areas of data science/ML, including statistics, causal inference, supervised and unsupervised machine learning algorithms, common LLMs (OpenAI, Claude 3, Llama 3), and essentials of prompt engineering.
• Strong command of Python and standard packages for data science/ML, including Tensorflow or PyTorch
• Strong command of data processing tools and technology for production-grade ML workflows (e.g., SageMaker Pipelines & Docker)
• Strong analytical and problem solving skills, with the ability to efficiently harmonize disparate data, conduct complex analyses, and present findings fluently.
• Excellent written and verbal communication skills
• Highly inquisitive, self-motivated, self-directed and attentive to detail
• Preferred: 
• Familiarity with software development life cycle and project management tools (such as Agile and JIRA)
• Familiarity with value-based care, quality metrics, and clinical terminologies
• Familiarity with AWS cloud infrastructure

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For Patient Facing RolesTo keep our patients, communities and each other safe, you'll be required to comply with Accompany Health’s medical clearance requirements, including completing a TB screen and providing proof of immunity or vaccination for certain conditions. You will also be required to be vaccinated and up-to-date on your COVID-19 vaccinations, including boosters. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
For Non-Patient Facing RolesTo keep our patients, communities and each other safe, you'll be required to comply with Accompany Health’s medical clearance requirements, including receiving the COVID-19 vaccine. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
We embrace diversity and believe it creates a healthier atmosphere:  Accompany Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.