Data/Machine Learning Scientist

Department Overview

AI Data Science team builds analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.

Job Overview

Responsibilities

As Data scientist will assess business opportunities and promote use of data science, analytics within domain and build internal and external resources and expertise.

The role requires being hands-on and working together with external and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses.

Work to leverage data (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methods to develop analytics solutions

Qualifications

6 - 8 years of experience, preferred
BTech-BE from Tier 1/2 engineering schools or MStat/MS (Math)/MA Econ/ MS Analytics/data science from Tier 1/2 schools
Knowledge on CI/CD method of working and MLOps.
Lead/Ideate Agentic AI, GenAI and Classic ML initiative in AI CoE
Design ML/LLM pipelines, good knowledge of RAG, prompt engineering.
Monitor system performance, logs, retrieval quality and prompt-effectiveness
Design, develop, and maintain robust and scalable cloud functions using Python, FastAPI or Flask, and SQLModel/SQLAlchemy.
Integrate microservices with ApigeeX for API management, security (authentication, authorization, rate limiting), monitoring, and analytics.

Excellent Programming/ Data Wrangling skills with some languages like Python, R, Scala, Java, SQL

Skills in areas like Agentic AI, GenAI, and some other traditional AI techniques like optimization, Statistics, Machine learning, NLP, Image/ Video, Speech analytics

Good knowledge of some of the analytical platforms like GCP, BigQuery, Google Cloud Storage, MS Azure, Google Looker, Databricks etc.

Preferably good knowledge of Agile SCRUM development processes

Soft Skills

Excellent communication and storytelling skills (oral, written and presentation)

Highly driven, energetic, flexible ability to multitask

Ability to work with teams/ stakeholders to drive change/ adoption of analytics solutions

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Data Scientist

Job Description

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