Note: The job is a remote job and is open to candidates in USA. Robert Half is seeking an experienced Senior Data Scientist to apply advanced analytics, machine learning, experimentation, and business strategy in a healthcare environment. The role focuses on developing predictive solutions, supporting marketing and business decision-making, leveraging cloud-based analytics platforms, and communicating actionable insights to stakeholders.
Responsibilities
- Develop, deploy, and maintain machine learning models that address high-value business opportunities
- Build analytical solutions that forecast outcomes, optimize decisions, and uncover actionable business insights
- Perform data preparation, feature development, model validation, and ongoing model performance tracking
- Convert business objectives into practical, scalable analytical solutions
- Design and evaluate controlled experiments, including A/B testing initiatives
- Utilize statistical techniques to assess campaign performance, customer engagement, and operational effectiveness
- Interpret analytical findings and translate them into business recommendations
- Partner with marketing teams to support customer acquisition, retention, engagement, and personalization strategies
- Work closely with business leaders and cross-functional partners to prioritize analytics opportunities
- Communicate technical findings and strategic recommendations to diverse stakeholder groups
- Analyze and prepare large-scale datasets from multiple data sources
- Leverage modern cloud data platforms to support machine learning development and operationalization
- Contribute to data reliability, governance standards, and process improvement efforts
- Create dashboards, reports, and visualizations that enable informed business decisions
- Present complex analytical concepts in a way that is accessible to both technical and non-technical audiences
- Help foster a culture focused on evidence-based decision making
Skills
- • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related discipline, or equivalent professional experience
- • 7+ years of experience delivering data science, machine learning, or advanced analytics solutions in a business environment
- • Background working within the healthcare industry
- • Experience supporting marketing organizations through analytics, performance measurement, and data-driven decision making
- • Strong Python programming skills for analytics and machine learning development
- • Advanced SQL capabilities with experience working across large and complex datasets
- • Demonstrated experience building and implementing machine learning solutions, including:
- • Predictive Modeling
- • Classification Techniques
- • Regression Analysis
- • Segmentation and Clustering
- • Strong foundation in statistical methods, hypothesis testing, and experimental frameworks
- • Experience leading and interpreting A/B testing initiatives
- • Excellent communication and stakeholder engagement skills
- • Ability to simplify complex analytical concepts for business audiences
- • Collaborative mindset with a focus on partnership and customer service
- • Experience with Microsoft Azure data and analytics services
- • Hands-on experience with Databricks for analytics, data engineering, or machine learning projects
- • Familiarity with distributed processing technologies such as Apache Spark
- • Understanding of MLOps practices, model lifecycle management, and production deployment processes
- • Experience operating in regulated industries, particularly healthcare-related environments
- • Exposure to additional programming languages such as Scala, Java, or C++
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