**Job Summary**HP R&D Brazil is HPs premier research & development organization in Brazil.**Responsibilities**- Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.- Defines models to uncover patterns and predictions creating business value and innovation.- Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.- Ties insights into effective visualizations communicating business value and innovation potential.- Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.- Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.- Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.- Defines, communicates and drives data insights/innovation into the business.- Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.- Provides guidance, training and mentoring to less experienced staff members.**Education & Experience Recommended**- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.- Typically 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.**Preferred Certifications**- Programming Language/s Certification (SQL, Python, or similar)**Knowledge & Skills**- Broad knowledge of machine learning, statistical modeling and data mining- Expertise with building robust systems based on machine learning techniques.- Track record of work in Generative AI and Machine Learning (LLMs, LVMs, LMMs, LAM, NEURO SYMBOLIC, SAM) development and deployment.- Knowledge of cloud deployments on AWS/Azure- Experience leveraging models from repositories such as Hugging Face- Experience with deep learning frameworks such as Pytorch and Tensorflow.- Excellent Software development skills with fast prototyping in Python.**Cross-Org Skills**- Technical leadership- Effective Communication- Results Orientation- Learning Agility- Digital Fluency- Customer Centricity**Impact & Scope**- Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.**Complexity**- Responds to moderately complex issues within established guidelines.**Disclaimer**LI-POST
