Senior Data Scientist

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 Py Spark 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 Gen AI 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, 6+ years of relevant work experience Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Impact & Scope Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Complexity Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (India) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal" You want to reshape the way the world works. So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together. Privacy, Terms of Use, and Accessibility Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’ We uphold a zero-tolerance policy towards discrimination and treat everyone with respect. By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work. Learn more about HP personal data practices at Privacy Statement, Personal Data Rights Notice (where applicable), Accessibility at HP, and Terms. You can be yourself at HP. Learn more Having trouble with this page or with applying to a role? Click here to submit a request for support.