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Senior Machine Learning/ Data Scientist - Porto Alegre, Brasil - Hewlett Packard

Hewlett Packard

Empresa verificada

Porto Alegre, Brasil

há 1 mês

Postado por:

Ana Silva

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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 domainspecific expertise in crossorganization 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 datadriven 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

Fouryear 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

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

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