Senior Data Scientist – Simulation & Predictive Modeling (Remote)

KDR Talent Solutions Ltd; United States; Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

Equity

Benefits

Remote work

Job summary

KDR Talent Solutions Ltd. is helping a HealthTech client to recruit a Senior Data Scientist for simulation and advanced modeling.

The role focuses on building and deploying complex models that simulate system behavior and outcomes over time, leveraging real-world, longitudinal data. The position offers remote work in the US, with a strong emphasis on end-to-end ownership, cross-functional collaboration with engineering and leadership, and ongoing investment in analytics capabilities to drive

Qualifications

• Strong data science or ML background with hands-on modeling expertise.
• End-to-end model development, deployment, and maintenance in production.

Responsibilities

• Design and develop sophisticated simulation and predictive models.
• Model complex outcomes and trajectories over time.
• Apply Monte Carlo, statistical, and computational modeling techniques.
• Work with longitudinal, time-series and real-world datasets.
• Own DS projects end-to-end from problem definition to production deployment.
• Build/maintain models in a cloud-based environment using Python and SQL.
• Collaborate with engineering to operationalize models into production systems.
• Communicate progress, risks, and findings to technical and non-technical stakeholders.

Skills

Python

SQL

Simulation modeling

Monte Carlo simulation

Digital Twins

Azure

Tools

Azure

Job description

KDR Talent Solutions Ltd. is helping a HealthTech client to recruit a Senior Data Scientist for simulation and advanced modeling.

The role focuses on building and deploying complex models that simulate system behavior and outcomes over time, leveraging real-world, longitudinal data. The position offers remote work in the US, with a strong emphasis on end-to-end ownership, cross-functional collaboration with engineering and leadership, and ongoing investment in analytics capabilities to drive