Note: The job is a remote job and is open to candidates in USA. Robert Half is recruiting for an undisclosed employer seeking a Senior Data Scientist to turn healthcare data into actionable business insights. The role develops analytics and machine learning solutions, evaluates customer and marketing initiatives, and supports strategic decisions in partnership with business and technical teams.
Responsibilities
- Build and implement predictive and prescriptive analytics solutions that support business growth and customer engagement objectives
- Develop machine learning models to identify trends, forecast outcomes, and improve customer experiences
- Create scalable analytical frameworks that support retention, segmentation, personalization, and performance optimization initiatives
- Analyze large and complex healthcare data sets to uncover meaningful business opportunities
- Design and execute experimentation strategies to evaluate business programs, customer journeys, and marketing initiatives
- Apply statistical methodologies to assess effectiveness, validate hypotheses, and quantify business impact
- Establish measurement standards and KPIs that enable continuous optimization
- Convert analytical findings into clear recommendations for business leaders
- Collaborate with marketing and cross-functional stakeholders to solve complex business challenges using data
- Deliver insights that influence acquisition, engagement, retention, and customer growth strategies
- Support campaign measurement, audience targeting, and customer lifecycle analytics
- Explain technical concepts and analytical outcomes to both technical and executive audiences
- Utilize modern cloud-based analytics environments to build and operationalize data science solutions
- Develop efficient data workflows and transformation processes using Python, SQL, and distributed computing technologies
- Partner with data engineering teams to ensure reliable, scalable, and high-quality analytical datasets
- Support best practices related to data governance, model performance, and analytics standards
Skills
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline
- 7+ years of experience delivering data science, advanced analytics, or machine learning solutions in a production environment
- Prior experience working with healthcare-related data, products, or organizations
- Strong background supporting business and marketing stakeholders through data-driven insights
- Machine Learning
- Predictive Analytics
- Classification & Regression Modeling
- Customer Segmentation
- Statistical Modeling
- Hypothesis Testing
- Experimental Design
- Advanced Python development experience for analytics and model development
- Strong SQL skills with experience analyzing large-scale datasets
- Experience deploying and monitoring machine learning models throughout their lifecycle
- Ability to communicate analytical findings and business recommendations to senior leadership
- Experience working within Azure-based analytics ecosystems
- Hands-on experience with Databricks in support of analytics, machine learning, or data engineering initiatives
- Knowledge of Apache Spark and large-scale data processing frameworks
- Familiarity with MLOps practices, model governance, and production model monitoring
- Experience working in highly regulated or data-sensitive environments
Company Overview
Company H1B Sponsorship