
Senior Data Scientist / ML Engineer
Surgo Health
full-time
Posted on:
Location Type: Hybrid
Location: Washington, DC • District of Columbia • Washington • United States
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Job Level
Tech Stack
About the role
- Lead predictive machine learning development and validation efforts to enhance the BehavioralPulse™ asset and ensure scientific rigor.
- Build, optimize, and deploy hundreds of models predicting patient behaviors using Databricks and Python.
- Identify and integrate new data sources to enrich BehavioralPulse™ with novel socio-behavioral indicators, including geospatial data.
- Work cross-functionally with Product, Client Engagement, and R&D teams to deliver BehavioralPulse™ powered solutions to pharma clients.
- Promote responsible AI practices by validating model performance across key demographic groups and ensuring fairness and accuracy.
Requirements
- You have at least 5 years of experience building and validating predictive machine learning models
- You are highly proficient in Python and Databricks
- You are well-versed in ML engineering practices
- You do not need to have healthcare expertise, but expertise in modeling human behavior is a plus
- You have strong opinions and are willing to voice them when it comes to building trusted data pipelines, machine learning models, and data assets.
- You enjoy working in a fast-paced, entrepreneurial environment where you can both lead strategically and build hands-on.
Benefits
- - Fantastic, fun and collaborative colleagues; opportunity to solve tough challenges in healthcare
- - Ability to be entrepreneurial and tremendous opportunities for growth
- - Public Benefit Corporation with an impact and equity mission
- - Competitive compensation and health benefits
- - Generous PTO, 10+ holidays
- - 80% of your medical premiums covered
- - 100% of your dental and vision premiums covered
- - Highly competitive 401K
- - Professional Development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive machine learningmodel validationPythonDatabricksML engineering practicesdata pipeline developmentmodeling human behavior
Soft Skills
leadershipstrategic thinkingcommunicationcollaborationopinionated decision makingadaptability