Senior Data Scientist

What Data Science contributes to Cardinal Health    

The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.

This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years.  Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes.

Responsibilities:

• Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems

• Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making

• Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives

• Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability

• Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit

• Drives experimentation and A/B testing strategies to optimize business outcomes

• Mentors junior data scientists and contributes to the development of a high-performing analytics team

• Ensures data quality, governance, and compliance with organizational and regulatory standards

• Stays current with industry trends, emerging technologies, and best practices in data science and AI

• Contributes to the development of internal knowledge bases, documentation, and training materials

Qualifications:

• 8–12 years of experience in data science, analytics, or a related field (preferred)

• Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred

• Strong programming skills in Python and SQL;

• Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights

• Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable

• Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences

• Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP).

• Experience with PyTorch or other deep learning frameworks

• Strong understanding of RESTful APIs and / or data streaming a big plus

• Required experience of modern version control (GitHub, Bitbucket)

• Hands-on experience with containerization (Docker, Kubernetes, etc.)

• Experience with product discovery and design thinking

• Experience with Gen AI

• Experience with supply chain analytics is preferred

Anticipated salary range: $123,400 - $176,300

Bonus eligible: Yes

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

• Medical, dental and vision coverage

• Paid time off plan

• Health savings account (HSA)

• 401k savings plan

• Access to wages before pay day with myFlexPay

• Flexible spending accounts (FSAs)

• Short- and long-term disability coverage

• Work-Life resources

• Paid parental leave

• Healthy lifestyle programs

Application window anticipated to close: 12/02/2025 *if interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

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Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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