Data Scientist

At Owens & Minor, we are a critical part of the healthcare process. As a Fortune 500 company with 350+ facilities across the US and 22,000 teammates in over 90 countries, we provide integrated technologies, products and services across the full continuum of care. Customers—and their patients—are at the heart of what we do.

Our mission is to empower our customers to advance healthcare, and our success starts with our teammates. 

Owens & Minor teammate benefits include:

• Medical, dental, and vision insurance, available on first working day

• 401(k), eligibility after one year of service

• Employee stock purchase plan

• Tuition reimbursement

Patient Direct (Byram Healthcare & Apria Healthcare brands) is seeking a Data Scientist to help leverage prospects and customer data to derive insights that will help build audiences to fuel targeted digital advertising campaigns, website personalization, and operational efficiencies. This role will collaborate closely with marketing, other business operations, and IT teams to develop actionable insights and optimize outcomes.

By leveraging data, the Data Scientist will play a critical role in driving profitable customer acquisition, retaining current customers, and improving operational efficiencies. This role will identify business trends and problems through complex big data analysis, interpreting results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Additionally, this role will involve leveraging artificial intelligence (AI) to create advanced predictive models, automate processes, and provide deeper insights to support strategic decision-making. A strong focus on HIPAA compliance and data privacy is required to ensure all strategies and tactics align with legal and regulatory standards.

BUSINESS OBJECTIVES

• 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.

ESSENTIAL JOB FUNCTIONS

• 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).

QUALIFICATIONS

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.
• Knowledge of correlation modeling techniques, including:
  • Logistic Regression
  • Decision Trees
  • Clustering (e.g., K-Means, DBSCAN)

Preferred:

• Experience in data pipelining; API knowledge is a plus.
• Expertise in data visualization tools, particularly Power BI. Familiarity with modern product analytics tools is a bonus.
• Strong ability to present findings to both technical and non-technical stakeholders.
• Familiarity with setting up and interpreting A/B tests and attribution models.

If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.

Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.