Data Scientist Lead

Kontakt Micro-Location Sp. Z.o.o.; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Parental leave

Hybrid NYC office

Job summary

Kontakt.io is seeking an experienced Data Science Lead in New York City to design, develop, and deploy ML models that power AI‑driven healthcare operations. You will own the end‑to‑end lifecycle, coordinate with Product and Engineering, and translate business goals into measurable ML outcomes.

You will lead a high‑performance data science and ML engineering team in a hybrid work setup, mentoring engineers, ensuring production readiness, and delivering measurable business impact for hospital

Qualifications

• 10+ years of experience in Data Science, Machine Learning, or related roles.
• Proven leadership with ability to drive technical strategy and mentor a high‑performance team.
• Strong Python skills and hands‑on ML framework experience (TensorFlow, PyTorch, Scikit‑learn).
• Experience deploying and monitoring production ML systems and pipelines.
• Familiarity with cloud platforms (AWS) and scalable ML infrastructure.
• Knowledge of healthcare data, EHR systems, and related regulations.

Responsibilities

• Own the full lifecycle of assigned ML models from ideation to deployment and validation.
• Translate business goals into measurable data science objectives and KPIs.
• Design and run robust A/B tests to quantify model impact and define success metrics.
• Deliver production‑ready, well‑documented code following engineering standards.
• Package and deploy models as services (APIs, microservices) with CI/CD.
• Maintain reliability, scalability, and performance of models and data pipelines.
• Build dashboards and alerts for model health, drift, and SLA compliance.
• Monitor for degradation or data drift and proactively resolve issues.
• Lead on‑call rotation for ML systems and incident response.
• Perform RCA within 48 hours of incidents and document remediation actions.
• Serve as SME for domains like patient journey and asset utilization.
• Collaborate with Product, Engineering, and Leadership to communicate insights and roadmaps.
• Identify high‑value data sources and upstream improvements for new capabilities.

Skills

Leadership

Python

ML frameworks

Production ML

AWS Cloud

Data engineering

EHR systems

Healthcare data

RTLS

Collaboration

Tools

Docker

Kubernetes

AWS

Job description

We are makers and builders. We challenge the status quo and have fun doing it. We bring passion and purpose to making a difference in healthcare, elevating how care is delivered and experienced.

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, we’re changing that. By combining proprietary hardware, AI‑powered intelligence, and deep integrations with the systems hospitals already rely on, we’re creating a real‑time understanding of hospital operations that software alone can’t deliver. That intelligence powers the execution layer hospitals have been missing – helping care teams 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’re pioneering the next generation of healthcare operations. 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.

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!

Responsibilities

• 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.

What You Bring

• 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 has 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 401(k), 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.