About Kontakt.io
Inside health systems, where every second can matter, operations are still spread across dozens of disconnected tools and platforms. Kontakt.io is changing that.
We combine proprietary hardware, AI-powered intelligence, and deep integrations with the technology health systems already have in place to build real-time understanding of what's happening across their operations. That intelligence becomes the execution layer care teams have been missing, helping them make smarter decisions and deliver better patient care.
Backed by Goldman Sachs and trusted by leading health systems including HCA Healthcare, Sutter Health, AdventHealth, Trinity Health, Northwell Health, Cleveland Clinic, and the U.S. Department of Veterans Affairs, we’ve more than doubled our revenue and are rapidly scaling with a clear path toward $100M in annual recurring revenue.
If you're excited to solve hard problems and help health systems deliver better care, we'd love to meet you!
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!
ResponsibilitiesOwn 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.
Proven leadership experience with the ability to drive technical strategy while mentoring a high-performance Data Science and ML Engineering team
.10+ years of experience in Data Science, Machine Learning, or related roles.Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).
Experience with production ML systems, including model deployment, monitoring, and lifecycle management.
Familiarity with cloud platforms (AWS) and scalable ML infrastructure.
Strong understanding of data engineering, feature engineering, and model evaluation metrics.
Experience with real-time systems, RTLS, or healthcare data
Knowledge of healthcare regulations and EHR systems (Epic, Cerner, Meditech)
Built for collaboration - our team a hybrid schedule of 3 days/week minimum from our New York City office
Equity in a high-growth company scaling toward $400M+ ARR and backed by leading investors
Full health, dental, and vision coverage, a 401k, paid time off, paid parental leave and all the tools you need to do your best work
Autonomy to solve meaningful problems with work that ships quickly and makes a difference
Ready to Build the Future of Healthcare?
Apply now and help to build the platform that care operations run on. 🚀
Skills Required
- Leadership experience driving technical strategy and mentoring high-performance Data Science and ML Engineering teams
- 10+ years of experience in Data Science, Machine Learning, or related roles
- Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Experience with production machine learning systems, including model deployment, monitoring, and lifecycle management
- Familiarity with AWS and scalable machine learning infrastructure
- Strong understanding of data engineering, feature engineering, and model evaluation metrics
- Experience with real-time systems, RTLS, or healthcare data
- Knowledge of healthcare regulations and EHR systems including Epic, Cerner, or Meditech
What We Do
Kontakt is the only AI platform in healthcare that delivers operational predictability — maximizing capacity, safety, and decision making to enhance care delivery for patients and caregivers.
Why Work With Us
Collaborative, mission-driven team solving real healthcare challenges. Build impactful tech, grow fast, and make a difference—together.
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