Owens & Minor, Inc. is a Fortune 500 company providing integrated technologies, products, and services across the healthcare continuum. They are seeking a Data Scientist to leverage customer data for insights that drive targeted digital advertising campaigns and operational efficiencies, while ensuring compliance with HIPAA regulations.
Develop predictive models to identify high-value prospects and improve customer targeting for profitable acquisition.
Discover correlation between customer touchpoints (Web interactions, emails, texts) and successful patient outcomes (New accounts created/retention %).
Successfully tie back performance to attribution source.
Analyze retention trends and develop strategies to enhance customer experience and lifetime value.
Executes analytics and market research projects to obtain customer-patient insights
Delivers value-added statistical analyses of data across multiple systems and work with different business groups to solve operational reporting challenges (finance, billing, marketing, etc.)
Communicates directly with key personnel to design and generate management-level reports.
Ensure all strategies and implementations comply with HIPAA regulations and prioritize data privacy, preventing unauthorized access or misuse.
Prepare data for Visualization:
Partner with marketing, operations, and IT teams to gather business requirements, define KPIs, and deliver actionable insights.
Perform data validation with scheduled integrity checks to maintain accuracy and reliability.
Define structure, rules, and governance policies for datasets.
Update data tables to include additional data points & improve data load times.
Create and implement an attribution model to properly weight how much each source is responsible for the final outcome (positive or negative).
Design visualizations and dashboards using BI Tools like DOMO, Tableau, Power BI, etc.
Manages KPIs and metrics tracking for all predictive projects.
Analyze Customer Behavior:
Perform clustering to identify characteristics and interactions correlated with positive or negative order/retention outcomes across product types.
Data Engineering Requirements Building and Data Transformation:
Convert unstructured data into structured formats for downstream applications.
Build requirements for pipelines for seamless data integration into analytics and reporting tools.
Leverage Machine Learning/Artificial Intelligence for Funnel Optimization:
Develop and apply models for attribution, customer segmentation, and process automation.
Implement machine learning techniques to enhance personalization and operational efficiency.
Evaluate the impact of communication sequences on patient outcomes (e.g., web funnels, text/email messages, educational resources).
Qualification
Required
Bachelor’s or Master’s degree in Computer Science, Mathematics, Economics, Statistics, or related fields.
1–2 years of experience in data science or data analysis (including internships).
Proficiency in SQL, Python, for data analysis and modeling.
Hands-on experience with data validation and integrity checks.
Exceptional communication skills with a focus on collaboration across different organizations and being able to communicate effectively with management.
