Senior Data Scientist

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

Senior Data Scientist – Simulation / Advanced Modeling | HealthTech | Remote US | $160,000–$200,000 + Equity + Benefits

The Company

Our client is a fast-growing, venture-backed HealthTech business using data, machine learning, and advanced analytics to improve how healthcare is delivered and personalized.

The company is investing heavily in its Data and AI capabilities as it continues to scale, with a growing focus on using complex real-world datasets to support better decision-making, more personalized experiences, and improved health outcomes.

This is an opportunity to join a technically ambitious business where Data Science is closely connected to the core product and where experienced individuals can take genuine ownership of high-impact projects.

What makes the opportunity stand out:

• Real-world impact – develop models that contribute directly to healthcare products and decision-making
• Complex data – work with rich, longitudinal, real-world datasets from multiple sources
• Data and AI investment – join a business actively expanding its advanced analytics and machine learning capabilities
• High ownership – take responsibility for technically challenging projects from concept through production
• Cross-functional exposure – work closely with engineering, product, domain specialists, and senior leadership
• Growth-stage environment – help shape how advanced modeling techniques are applied as the business scales

The Role

Our client is looking for a Senior Data Scientist to take a leading role in an advanced modeling initiative focused on understanding and predicting how complex systems and outcomes may evolve over time.

You will build sophisticated simulation, statistical, and predictive models using real-world data, with the opportunity to work on increasingly personalized and dynamic modeling problems as the platform develops.

This is an end-to-end role for someone who wants ownership beyond experimentation, taking complex Data Science problems from initial definition through model development, deployment, and ongoing optimization.

Responsibilities will include:

• Design and develop sophisticated simulation and predictive models
• Model complex outcomes, behaviours, and trajectories over time
• Apply techniques including Monte Carlo simulation, statistical modeling, computational modeling, and predictive machine learning
• Work with complex longitudinal, time-series, and potentially synthetic datasets
• Own Data Science projects end-to-end, from problem definition and experimentation through production deployment
• Build and maintain models within a modern cloud-based environment using Python and SQL
• Work closely with engineering teams to operationalize models and integrate them into production systems
• Act as a technical point person across projects, communicating progress, risks, and findings to technical and non-technical stakeholders

Your Experience

Our client is looking for an experienced Data Scientist who combines strong modeling expertise with the ownership mentality required to deliver complex projects within a fast-moving environment.

Direct experience with Digital Twins would be highly relevant, but is not essential. Candidates with sophisticated simulation, computational, statistical, or predictive modeling backgrounds are strongly encouraged to apply.

You should bring:

• Strong professional Data Science or Machine Learning experience
• Advanced Python and SQL skills
• Deep experience in at least one of simulation modeling, Monte Carlo simulation, predictive/statistical modeling, computational modeling, mechanistic modeling, or Digital Twins
• Genuine end-to-end experience developing, deploying, and maintaining models in production (Azure)
• Experience working within cloud-based Data Science or Machine Learning environments
• Strong ownership and communication skills, with the ability to independently lead technical projects
• Experience with longitudinal data, time-series data, synthetic data, or complex real-world datasets would be beneficial
• Healthcare, life sciences, biological, scientific, or similarly complex domain experience would be advantageous but is not essential
• Comfortable operating autonomously within a fast-paced startup or scale-up environment