Senior Data Scientist

Newfire Global Partners•Boston, MA

About The Position

Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology. We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base. Opportunity for impact Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation. Newfire is seeking a Senior Data Scientist with SaaS experience to drive the modernization and spearhead the development of a unified, next-generation clinical technology platform for a current healthcare client. The Data Scientist will primarily be responsible for owning the development and deployment of machine learning models to support operational and clinical use cases at Monogram. This work will occur under the support of more senior data scientists. These models will be developed using open-source tools and libraries and may be operationalized as batch or real-time model inference endpoints. The models will use a variety of data sources, including healthcare claims, operational data from care management platforms, and EHRs. This position will report to the VP, Data Science with future direct reporting to the Director, Data Science.

Requirements

4+ years previous experience performing quantitative analyses of healthcare claims
2+ years experience using Python for machine learning model development and deployment
2+ years experience using SQL, Databricks & Pyspark to extract and manipulate data for data engineering tasks
2+ years experience presenting to business and executive stakeholders
2+ years of experience developing code and analyses following good software development practices
Version control (GIT)
CI/CD principles
Test-driven development

Nice To Haves

Experience with Azure or other cloud computing providers preferred

Responsibilities

Under guidance of more senior data scientists, own the development and deployment of machine learning models to support operational and clinical use cases at Monogram
Perform ad-hoc data analyses related to outputs or alternative use-cases for existing models (e.g. summarize outputs for reporting purposes)
Work with program owners to understand the goals, key performance measures, and operational details of programs and processes to ensure models are aligned with program intent
Create and present proposals for machine learning solutions to program owners with the aim of ensuring buy—in to proposed solution