Senior Data Scientist
HP
The Team
We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers.
Responsibilities
Defines and implements AI solutions to create business value and innovation.Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.Develops clear presentations for business stakeholders and managers.Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.Knowledge & Skills
Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services.Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems.Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering.Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems.Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges.Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Functions.Ability to effectively communicate data insights and negotiate options at senior management levels.Strong analytical and problem-solving skills.Excellent written and verbal communication skills; mastery in English.Education & Experience
Bachelor's, master's or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent.Typically, 4-6 years of relevant work experience.
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