Data Scientist

Oak Orchard Health•Village of Brockport, NY

23h•Onsite

About The Position

At Oak Orchard Health, the Data Scientist will transform complex data into meaningful insights to support high-quality, patient-centered care across communities. This role involves partnering with clinical, financial, quality, and operational teams to build reports, uncover trends, and support smarter decision-making. The ideal candidate is passionate about solving problems, working across teams, and making a real impact in healthcare.

Requirements

Bachelor’s degree in Engineering, Data Science, Computer Science or a related field
Experience working with SQL and data analysis tools
Familiarity with Claude Code or Codex
Willingness to learn new tools and an interest in leading improvement projects that streamline data flow and strengthen data governance
Strong problem-solving skills and the ability to manage multiple priorities
A proactive, self-driven mindset—you don’t wait for problems, you solve them
Strong communication skills and comfort working with cross-functional teams
Willingness to travel between Oak Orchard locations as needed
HIPAA knowledge and experience handling PHI safely, including de-identification practices
Familiarity with UDS reporting requirements (HRSA)
Experience with HEDIS, MIPS/MACRA, or PCMH quality measures

Nice To Haves

Exposure to integrating machine learning or predictive models into EMR workflows is preferred

Responsibilities

Support the development and deployment of machine learning models (e.g., regression, classification, clustering, forecasting) to generate predictive insights and inform organizational decision-making
Design and develop reports, interactive dashboards, and automated reporting pipelines using Power BI and Python
Analyze and translate complex data into clear, actionable insights
Write and optimize SQL queries (PostgreSQL, MySQL), including joins, stored procedures, and nested queries
Collaborate with teams across the organization to understand reporting needs and deliver custom reports, dashboards, and analytical views
Support and manage integrations with third-party reporting tools (e.g., Relevant, Azara, BridgeIT)
Maintain user access and serve as a key liaison with external data/reporting partners
Build a strong understanding of EMR workflows to bridge the gap between clinical systems and data infrastructure
Partner with CMO/QAPI on regulatory and grant reporting (UDS, HEDIS, etc.)
Document data sources, definitions, and reporting logic to support organizational knowledge
Validate data quality and reconcile discrepancies between source systems