Description

East Coast USA / Remote Energize Group is partnered with a women and minority-led SaaS company, leveraging AI to forecast and mitigate clinician burnout and turnover. Currently, they are in search of a Senior Data Scientist who will collaborate closely with their data team (including data science, economics, and engineering) to derive actionable insights from data across various contexts. They nurture a supportive and tightly knit work environment, offering an exceptional opportunity for individuals to join a growing team from its inception and evolve alongside the company. Creativity and self-initiative are highly encouraged, providing ample opportunities to address some of society's most pressing challenges. Requirements M.S. in Data Science, Computer Science, Statistics, or a related field Thorough understanding and practical application of contemporary machine learning techniques in production environments Experience in developing data science products using both structured and unstructured data Proficiency in R, Python, and SQL for hands-on data analysis Familiarity with standard engineering tools such as GitHub, Docker, and Jupyter/RStudio Development experience with data visualization tools like Tableau, AWS Quicksight, Metabase, etc. Solid understanding of data engineering practices, data security, and IaaS (AWS) Excellent communication skills and business acumen Ability to undertake operations/engineering tasks such as automated testing, version control, documentation, and deployment Strong problem-solving and critical thinking abilities Experience with modeling, longitudinal methods, and integration of multiple data sources Comfortable working in a fast-paced, dynamic startup environment Preference for some knowledge of healthcare, health tech, or healthcare data analytics Typical Tasks and Responsibilities include: Supporting the Chief Product Officer in analyzing enterprise data to enhance products and solutions, including building sophisticated and interpretable machine learning models Assisting the Chief Technology Officer in deploying machine learning models to production environments Integrating and analyzing diverse data sources such as Electronic Health Records, HR data, and survey data Developing innovative solutions for various statistical challenges and business requirements Contributing to publications in academic journals and conferences Collaborating closely with other key team members on various projects

Role and Responsibilities

• Typical Tasks and Responsibilities include: Supporting the Chief Product Officer in analyzing enterprise data to enhance products and solutions, including building sophisticated and interpretable machine learning models Assisting the Chief Technology Officer in deploying machine learning models to production environments Integrating and analyzing diverse data sources such as Electronic Health Records, HR data, and survey data Developing innovative solutions for various statistical challenges and business requirements Contributing to publications in academic journals and conferences Collaborating closely with other key team members on various projects