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Job Description:

Company

About Summit Partners

Founded in 1984, Summit Partners is a global alternative investment firm that is currently investing more than $9.5 billion into growth equity, fixed income and public equity opportunities. Summit has invested in more than 460 companies in technology, healthcare, life sciences and other growth industries. These companies have completed more than 140 public equity offerings, and more than 180 strategic mergers and sales. Summit Partners enhances the value of these companies through infrastructure development, executive and board recruiting, and strategic and operational advice.

About Alpine Physician Partners

Alpine is the leading platform for integrated and offline care teams designed for the Medicare Advantage and Dually Eligible population, and is building a delivery system for the complex, chronically ill members that drive disproportionate share of the spend. This population has the highest rates of chronic diseases with often highly limited access to affordable and convenient specialty care. Alpine offers physicians better economics combined with higher quality of life through the transformation of small Fee for Service practices to a scaled value-based platform. Alpine will leverage existing playbooks to build the first integrated online and offline delivery system designed for seniors and primary care physicians.

Opportunity for Impact

The Principal Data Scientist (PDS) will be a key member of the Analytics team and will play a critical role in generating insights for Alpine business users around performance opportunities, developing user-centered analytics tools with accountability for their use and adoption.  The PDS will also provide support and expertise in relation to Data Pipeline, Data Science, Machine Learning, and Predictive Analytics solutions for enabling value-based healthcare, population health management, and enterprise analytics as needed. This role will report to the Vice President - Analytics and will have close collaborations with the clinical and administrative stakeholders. As a PDS, this person will identify, conceptualize, design, build, operationalize, manage, and lead in the development of analytic solutions to drive business actions that promote population health management and integrated care delivery. The PDS will also play a crucial role in supporting publications of the organization’s innovative solutions with the broader healthcare community.

Key Responsibilities:

• Own and lead end-to-end conceptualization, design, build, operationalization, and life-cycle management of analytics solution that support critical business workflows for value-based and integrated care delivery.
• Identify, conceptualize, design, build, operationalize, manage, and lead Analytic and Data Science solutions using cloud-based technology stack, including Databricks and Azure AI/ML platforms.
• Deploy, automate, maintain, and manage cloud-based solutions to ensure the availability, performance, scalability, and security of production systems.
• Collaborate closely with data engineers, cloud platform engineers, data analysts, and other technical team members to leverage data pipelines, distributed data processing, and the cloud data & analytics platform capabilities to deliver robust analytics solutions.
• Closely partner with the clinical and administrative leaders to plan, deploy, and operationalize analytics for population health management business operations, patient engagement, and performance management using EMR, RCM, and ACO/MA claims data.
• Engage with cross-functional stakeholders to identify pain points, business & technical requirements, and to design analytics solutions using best-practice patterns and modern architecture.
• Lead the statistical methodology and analyses for publication of the organization’s innovative solutions with the broader healthcare community.

Professional Qualifications:

• BA/BS degree in Biology, Computer Science, Engineering, Mathematics, Physics, Statistics, or related field required. MS/PhD (or comparable experience) in one of these disciplines preferred.
• Strong peer-reviewed publication history preferred.
• 5-10 years of experience in creating enterprise-grade predictive, advanced, and Machine Learning solutions using Cloud AI/ML technology stack, such as Databricks AI/ML Technology Stack and Azure Cloud Services.
• Expert-level proficiency in Python and/or R programming for building Data Engineering Pipelines and Machine Learning Pipelines.
• Expertise in understanding and applying classical and deep learning Machine Learning algorithms (Regression, Classification, Clustering, etc.) and common libraries (e.g., MLib, Scikit-Learn, Tensorflow, PyTorch, XGBoost).
• Highly skilled in applying structured Data Science/Machine Learning model development process (CRISP-DM) for planning, building, and operationalizing predictive analytics solutions to drive business actions and business outcomes.
• High proficiency in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies.
• Key contributor to decisions related to advanced analytics strategy & roadmaps, business use cases, and analytics platform capabilities.
• Effective communication and collaboration with internal cross functional teams, leadership team, technology partners & vendors, and end users.
• Excellent analytical, organizational skills and ability to work in a startup environment and to deliver on tight deadlines using Agile practices.

Healthcare industry experience highly

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!