DATA SCIENTIST

Data Scientist Description - HP R&D Brazil is HPs premier research & development organization in Brazil.
The Future Technologies and Experiences Group, which is building next generation experiences for PC users, is seeking an individual to join our team as an AI/ML scientist in our HP Brazil R&D unit.
The candidate will research and develop generative AI models and work with other team members and business unit partners to develop proof-of-concept prototypes and help move technologies to product.
Job Summary HP R&D research scientists are expected to undertake programs which will advance the state of the art and have a significant business impact for HP.
The ideal candidate will have the ability to identify key issues and challenges with existing implementations and implement solutions for real-world application.
Also, the candidate should be able to collaborate with other scientists, developers, strategists, and product managers on new applications.
Strong communication skills are required, and the ability to drive applied research into production is highly valued.
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 • 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 - Software Schedule - Full time Shift - No shift premium (Brasil) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc.
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