Data Scientist

Data Scientist

Description -

Job Summary

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. 

  

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
• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
• Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision-making.
• Develops algorithms, performs large scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems.
• Programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science.
• Creates, enhances, and maintains technical documentation, and presents to senior scientists, and business leaders.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Collaborates and communicates with project team regarding project progress and issue resolution, and suggests changes or improvements.
• Works with project team to understand problem statements, initiatives and directions from business.

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 2-4 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with little or no 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 immediate team and acts as an informed team member providing analysis of information and limited project direction input.

Complexity
• Responds to routine 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 -

No

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 you’d like more information about HP’s 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