Vaga de Data Scientist
1 vaga: | Publicada em 21/04
- A Combinar
Sobre a vaga
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 (Brazil)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective
employees, without regard to race, color, religion, sex, national origin,
ancestry, citizenship, sexual orientation, age, disability, or status as a
protected veteran, marital status, familial status, physical or mental disability,
medical condition, pregnancy, genetic predisposition or carrier status, uniformed
service status, political affiliation or any other characteristic protected by
applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you
choose to disclose the information requested. This information is provided
voluntarily. The information obtained will be kept in strict confidence.
If youd like more information about HPs EEO Policy or your EEO rights as an applicant under the law, please click here:
Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law
Supplement