**Job Summary**HP R&D Brazil is HPs premier research & development organization in Brazil.**Responsibilities**- Oversees data mining using modern tools and programming languages.- Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.- Drives the implementation of models to uncover patterns and predictions creating business value and innovation.- Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.- Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.- Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members.- Collaborates and communicates with project team regarding project progress and issue resolution.- Represents the data science team for all phases of larger and more-complex development projects.- Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.- Maintains proficiency within the data science domain by keeping up with technology and trend shifts.**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 has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.**Preferred Certifications**- Programming Language/s Certification (SQL, Python, or similar)**Knowledge & Skills**- Broad knowledge of machine learning, statistical modeling, or data mining- Expertise with building robust systems based on machine learning techniques.- Track record of work in Generative AI (LLMs, LVMs, LMMs) 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**- 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
