Kontakt.io
Data Scientist Lead
New York
Sponsorship not specifiedDetected 9 days ago
PythonCode ReviewAWSCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchscikit-learnData EngineeringData ScienceMLOpsLogisticsEpicCernerEHR/EMRLeadershipCollaborationMentoring
About the role
- About Kontakt.io http://Kontakt.io Every day, intelligent software orchestrates the physical world around us - from matching drivers with riders to optimizing global supply chains.
- Yet inside hospitals, where every second and every decision can affect a patient's life, operations are still spread across dozens of disconnected systems.
- At Kontakt.io http://Kontakt.io, we're changing that.
Responsibilities
- Own the full lifecycle of assigned ML models - from ideation to deployment and post-launch validation.
- Design and execute robust A/B or interleaved tests to quantify model impact
- Deliver production-ready, well-documented code following internal engineering standards (testing, CI/CD, peer review).
- Maintain operational reliability, scalability, and performance of all owned models and pipelines.
- Lead root cause analysis (RCA) within 48 hours of production incidents and document remediation actions.
- Design and execute robust A/B or interleaved tests to quantify model impact; define success metrics before deployment.
- Partner with Product, Engineering, and Leadership to communicate insights, model limitations, and roadmap priorities.
- That intelligence powers the execution layer hospitals have been missing - helping care teams make smarter decisions and deliver better patient care.
- If you're excited to solve hard problems, work with a team of builders, and help hospitals deliver better care every day, we'd love to meet you!
- You will own end-to-end ML lifecycle management, ensuring operational excellence, measurable business impact, and collaboration with cross-functional teams.
Requirements
- Proven leadership experience with the ability to drive technical strategy while mentoring a high-performance Data Science and ML Engineering team
- 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.
- .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 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. 🚀
Compensation
- We've more than doubled our revenue over the past year and are on track to surpass $70M in annual recurring revenue - not because we're following a market, but because we're defining one.
Benefits
- 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.
- Build dashboards and alerts for model health, drift detection, and SLA compliance.
Company info
- Package and deploy models as services (APIs, microservices), treating deployment as an integral part of development.
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