Data Scientist

Role: Data Scientist Location: Cincinnati/Dublin, OH- Day 1 onsite Duration: Contract Role Description: Role Description: As a functional consultant, work closely with the business and development team to capture the requirements across multiple business segments and functionalities. This role requires an extensive understanding of coding standard and implement them in Cardinal Health's applications. Apart from this any activity that is related to hypercare, rollbacks needs to be confirmed by this role to other teams. As an expert in Java Full stack, architecture must be well understood to give appropriate instructions to Dev team, work with external teams like Kafka, Postgres, Boomi to help them get their code aligned with the new application. Help team to follow the process and priority for implementation. Assign work to dev teams and work with scrum master to help with the priority of cards.Generative AI •Experience working with Generative AI and LLM based solutions •Experience delivering products in multimodal-LLMs/Foundation models, Machine Learning (Client), 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.Client Ops •Experience in building end-to-end Client pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production •Experience in model training, model evaluation, model optimization, Client system architecture design, and scalable Client 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/Client services and platforms with models in production, Client Ops, CI/CD automation of Client 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.Software Engineering •Implement delivery of architecture patterns that effectively leverage data foundation assets and incorporate API led designs •Build, execute and support the implementation of new technologies and API functionality across the organization•Familiarity with API management platforms like APIGee. •Working understanding of software engineering patterns, solutions architecture, information architecture and security architecture with an emphasis on Client/GenAI implementations.Thought Leadership •Partner and contribute to AI Client projects with cross functional teams to deliver advanced analytics/machine learning solution. •Work across diverse teams, perspectives and opinions and quickly build consensus. •Create visualizations of data that make distributions, trends, and results easy to understand for business Essential Skills: Front-end technologies: HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.jsBackend technologies: Python, Java, Node.js, Flask/Django, FastAPIDatabases: PostgreSQL, SQL Server, MongoDBVersion control: GitDevOps tools: Docker, Kubernetes, AirflowAPI layer: REST, Apigee, MicroservicesCI/CD: ConcourseCloud: GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storageMLGenAI RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluationLarge Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, RAG technologies, Vector databases, Embedding models, Prompting techniques. Desirable Skills: •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 (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business 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. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.