Sr. Analyst, Data Science at Cardinal Health - Transform Healthcare with AI Innovation

About Cardinal Health

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) stands as a global leader in integrated healthcare services and products. Connecting patients, providers, payers, pharmacists, and manufacturers, the company drives coordinated care and superior patient management. With nearly 100 years of experience, over 50,000 employees across nearly 60 countries, and a ranking among the top 20 on the Fortune 500, Cardinal Health is at the forefront of healthcare transformation.

The augmented Intelligence (augIntel) team within Cardinal Health pioneers automation, analytics, and artificial intelligence solutions. By harnessing emerging technologies, augIntel creates material savings, operational efficiencies, and revenue growth opportunities, turning innovation into core business capabilities that set Cardinal Health apart in the competitive healthcare landscape.

Role Overview

As a Sr. Analyst, Data Science in IND07, India, you will lead machine learning initiatives across business and IT domains at Cardinal Health. Collaborate closely with stakeholders to translate business goals into data-driven strategies. Design, develop, and deploy machine learning and deep learning solutions that maximize business value, enhance effectiveness, and drive profitable growth in the healthcare sector.

This role demands a blend of technical expertise in AI/ML, business acumen in healthcare distribution, and leadership to champion innovation. Influence cross-functional teams, troubleshoot ML platforms, and evangelize best practices to ensure scalable, high-impact solutions.

Key Responsibilities

Drive AI/ML Innovation

Research, evaluate, and implement cutting-edge artificial intelligence algorithms. Deliver projects aligned with reference architecture, roadmaps, and industry best practices. Troubleshoot technical issues in ML platforms to maintain seamless operations at enterprise scale.

Analyze and Model Business Needs

Diagnose complex business processes, data flows, and IT artifacts. Extract insights to fuel model development, identifying predictable patterns and high-value opportunities for advanced analytics.

Deploy High-Impact ML Solutions

Partner with business and IT stakeholders to develop and deploy ML models and algorithms that unlock profitable growth. Focus on regression, clustering, decision trees, neural networks, and Bayesian models to solve real-world healthcare challenges.

Promote Adoption and Best Practices

Leverage explainable AI techniques, conduct training sessions, and coordinate demos to drive business adoption. Establish development standards that minimize rework and maintenance costs while building ML architectures for Cardinal Health's global scale.

Foster Innovation Culture

Encourage informed risk-taking, act as a catalyst for innovation, and proactively maintain expertise in machine learning and adjacent technologies like deep learning and NLP.

Qualifications & Requirements

To excel in this Sr. Analyst, Data Science role, candidates need:

• 3+ years in the distribution or healthcare industry with deep knowledge of business practices.
• 3+ years hands-on experience with SQL and Python.
• 2+ years proven machine learning experience, including packaged platform delivery and management.
• Strong command of ML techniques: regression, clustering, decision trees, probability networks, neural networks, Bayesian models.
• Proficiency in ML technologies: Python, TensorFlow, PyTorch, Amazon SageMaker, Jupyter Notebooks.
• Good-to-have: Deep learning, NLP, cloud data engineering, GCP, BigQuery, Google Cloud Storage.
• DevOps Agile practices experience preferred.
• Excellent communication skills for stakeholder collaboration.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health champions an inclusive workplace valuing diversity of thought, experience, and background.

Benefits & Perks

Cardinal Health offers a premium work environment with comprehensive benefits tailored to employee well-being and growth:

• Inclusive Culture: Equal Opportunity/Affirmative Action employer ensuring fair consideration regardless of race, religion, disability, gender, veteran status, or other protected categories.
• Global Impact: Contribute to a Fortune 500 company serving millions in healthcare worldwide.
• Professional Development: Opportunities to evangelize ML expertise and lead innovation initiatives.
• Work-Life Balance: Supportive policies for diverse life stages, including back-to-work programs.
• Competitive Compensation: Estimated salary range reflecting healthcare sector standards in India with growth potential.

Career Growth

At Cardinal Health, career progression is fueled by innovation and impact. As a Sr. Analyst, Data Science, advance into leadership roles within augIntel, influencing enterprise-wide AI strategy. Leverage mentorship, training in emerging tech like NLP and cloud platforms, and cross-functional projects to build a robust career in healthcare data science. The company's global footprint opens doors to international opportunities and specialized tracks in ML engineering or AI governance.

Why Join Us

Join Cardinal Health to be part of a legacy of healthcare excellence. Work on transformative ML projects that save costs, boost efficiencies, and improve patient outcomes. Thrive in an environment that celebrates authentic selves, encourages risk-taking, and rewards innovation. With a commitment to diversity and inclusion, Cardinal Health empowers you to create better solutions for customers through the power of differences.

Role FAQs

What experience level is required?

3+ years in healthcare/distribution, 3+ years SQL/Python, 2+ years ML. Industry knowledge is key.

Is cloud experience mandatory?

Preferred, especially GCP, BigQuery. Understanding of data engineering concepts is essential.

What ML tools are used?

Python, TensorFlow, PyTorch, SageMaker, Jupyter. Deep learning/NLP is advantageous.

How does Cardinal Health support diversity?

Fully inclusive: encourages applications from underrepresented groups, Veterans, and non-traditional candidates.

What's the location and work setup?

Based in IND07, India. Full-time role with global collaboration opportunities.