Fuse is on a mission to disrupt healthcare. Our focus on technology, design and a product mindset will help drive that disruption and establish Cardinal Health as a leader in healthcare technology. Fuses innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. We leverage technology and insights across the enterprise to solve customer problems and forge new models. Design thinking drives our teams to imagine and invent the next horizon. Its more than technology innovation its creating new business models beyond our wildest dreams. With a strong leadership team setting the bar high, Fusers are challenged to bring their creativity, technical expertise and diverse perspectives to do the best work of their lives.
The Full Stack Senior Data Scientist is a key role in the transformation of business. They will work closely with business stakeholders to understand their goals and determine how data science can be used to achieve those goals. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
• *Responsibilities**
• *Data Engineering**
+ Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
+ Experience in model training, model optimization, ML system architecture design, and scalable ML model deployment
+ Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam
+ Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.
+ Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP)
+ Experience interacting with REST APIs and microservices
+ Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
• *Data Science/Machine Learning**
+ Designing and developing machine learning and deep learning solutions and systems.
+ Using statistical analysis to determine data modeling?approach, training machine learning tests and experiments.
+ Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
+ Mine and analyze large structured and unstructured datasets.
+ Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
• *Generative AI**
+ Experience working with Generative AI and LLM based solutions
+ Experience delivering products in Computer Vision, Computational Photography, multimodal-LLMs/Foundation models, Generative AI, Machine Learning (ML), or related areas
+ Experience working with RAG technologies such as LLM frameworks (Langchain and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, prompting techniques (Chain of Thought, ReACT, etc.), and vector databases.
• *Software Engineering**
+ Ensure delivery of architecture patterns that effectively leverage data foundation assets and incorporate API led designs
+ Build, Implement and oversee the implementation of new technologies and API functionality across the organization
+ Ability to create an end to end system architecture for a Data Analytics application.
+ Familiarity with API management platforms like APIGee.
+ Working understanding of software engineering patterns, solutions architecture, information architecture and security architecture with an emphasis on ML/GenAI implementations.
• *Thought Leadership**
+ Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
+ Work across diverse teams, perspectives and opinions and quickly build consensus.
+ Encourages informed risk-taking and acts as a catalyst for innovation at Fuse; generates practical, sustainable and creative options to solve problems and create business opportunities, while maximizing existing resources.
+ Communicate results and statistical concepts to key business leaders.
+ Create visualizations of data that make distributions, trends, and results easy to understand for business leaders.
+ Diagnose business need, analyze business process, data flows, IT / technical artifacts and extract understanding of how the system or business process works as input into projects / solutions.
+ Keeps up-to-date on current trends and best practices.
+ Identify
Location: Little Rock, AR
Posted: Aug. 7, 2024, 6:50 a.m.
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