Senior Machine Learning/Data Scientist
Description -
Job Summary
HP R&D Brazil is HP's 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.
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
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
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.
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