Data Scientist - Porto Alegre, Brasil - Hewlett Packard

Hewlett Packard

Empresa verificada

Porto Alegre, Brasil

há 3 semanas

Postado por:

Ana Silva

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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 nontechnical 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 morecomplex development projects.
Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and finetuning model parameters.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

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 has 47 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 35 years of work experience.

Preferred Certifications

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

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