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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Lead - **Company:** KONTAKT LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Cerner, Application Programming Interfaces (APIs), Amazon Web Services, Cloud Computing, Continuous Integration, Data as a Services, Information Engineering, Python (Programming Language), Machine Learning, Tensorflow, Real Time Systems, Feature Engineering, EHR Systems, Pytorch, Model Validation, Scikit Learn, Machine Learning Operations, Meditech, Microservices - **Published:** July 15, 2026 - **Apply:** https://jobs.ashbyhq.com/kontakt/530ffd40-2e33-4024-91fe-e2237fae0351 ## About the Role * Proven leadership experience with the ability to drive technical strategy while mentoring a high-performance Data Science and ML Engineering team * Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) * 10+ years of experience in Data Science, Machine Learning, or related roles * Knowledge of healthcare regulations and EHR systems (Epic, Cerner, Meditech) * Familiarity with cloud platforms (AWS) and scalable ML infrastructure * Experience with production ML systems, including model deployment, monitoring, and lifecycle management * Strong understanding of data engineering, feature engineering, and model evaluation metrics * Experience with real-time systems, RTLS, or healthcare data ## Description * As a Data Science Lead, you will play a pivotal role in designing, developing, and deploying machine learning models that drive AI-powered automation across healthcare operations * You will own end-to-end ML lifecycle management, ensuring operational excellence, measurable business impact, and collaboration with cross-functional teams * Your work will enable hospitals and healthcare facilities to deliver better, faster, and more cost-effective care.If you're passionate about building impactful ML solutions, leading data science teams, and transforming care delivery operations, join Kontakt.io and help us redefine the future of healthcare! * Own the full lifecycle of assigned ML models - from ideation to deployment and post-launch validation * Translate business goals into measurable data science objectives (e.g., improve workflow efficiency or reduce operational latency) * Design and execute robust A/B or interleaved tests to quantify model impact; define success metrics before deployment * Deliver production-ready, well-documented code following internal engineering standards (testing, CI/CD, peer review) * Package and deploy models as services (APIs, microservices), treating deployment as an integral part of development * Maintain operational reliability, scalability, and performance of all owned models and pipelines * Build dashboards and alerts for model health, drift detection, and SLA compliance * Continuously monitor for degradation, bias, or data drift; proactively resolve issues * Participate in on-call rotation for ML systems; enable team to serve as primary responder for incidents related to owned models and data services * Lead root cause analysis (RCA) within 48 hours of production incidents and document remediation actions * Serve as the internal subject-matter expert for your domain (e.g., patient journey, asset utilization) * Partner with Product, Engineering, and Leadership to communicate insights, model limitations, and roadmap priorities * Identify high-value data sources and upstream improvements to improve model outcomes or enable new capabilities meaningfully * Ensure all initiatives are tied to clear metrics or business KPIs ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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