Python Data Scientist - EMS/Healthcare
This contract role involves extending and enhancing a Python-based data processing pipeline for EMS patient care records within the healthcare domain. The Data Scientist will develop new data enrichments, implement probabilistic linking of EMS records, and validate processing results, working closely under technical leadership in a remote setting. The position requires strong applied data science skills, experience with MongoDB and Linux, and familiarity with healthcare data standards.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting, Transportation, Logistics, Supply Chain and Storage, IT System Data Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role & Overview
We are seeking an experienced Python Data Scientist (EMS/Healthcare) to extend and harden a Python-based data processing pipeline that enriches EMS patient-care records before they reach search and dashboards. This is a remote, contract role supporting a Confidential Client technical lead and a lightly defined sprint-by-sprint backlog.
Responsibilities
- Build new enrichment logic (syndromes, performance measures, and other derived fields) in an existing Python framework with tests and documentation.
- Develop and improve probabilistic linking / entity-resolution that groups multiple EMS records into incidents and patients (using time, location, and record attributes).
- Harden and maintain patient-token logic and ensure consistent record versioning and re-processing.
- Integrate and work within existing Python processors, message-queue pipeline, and MongoDB-backed record store.
- Validate and compare results on obfuscated staging data; trace and explain differences versus the current processing path.
- Collaborate closely with the client technical lead and deliver against sprint-defined backlog items.
Required skills & qualifications
- Strong Python experience (6+ years) building data processing in a maintained codebase.
- Applied data science experience: entity resolution / probabilistic matching, text classification, and deriving features from structured records.
- Working knowledge of MongoDB and familiarity with how search indexes (Solr or similar) consume processed records.
- Comfortable with Linux for running and debugging pipelines.
- Experience working with client-side technical direction and delivering from a lightly specified backlog.
- Clear communicator and able to document design, tests, and validation steps.
Preferred
- Experience with EMS, healthcare, or public-health data formats or standards (NEMSIS, ICD, RxNorm, syndromic surveillance).
- NLP applied to clinical or incident narratives.
- Geospatial data skills and geocoding experience.
- Exposure to Azure Data Lake, Databricks, or Microsoft Fabric.
Additional details
- Employment type: Contract (3+ month contract; remote / telecommute).
- Timeline: Immediate hire.
- Compensation: Pays up to $85 per hour, depending on experience.
- Authorization: This role does not provide visa sponsorship. U.S. citizens or Green Card holders are encouraged to apply.
- Note: No third-party recruiters; applicants may be asked to validate identity and eligibility to work in the U.S.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
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