Senior Machine Learning/ Data Scientist

Há 15 horas

Porto Alegre, Brasil Hewlett Packard Tempo inteiro

**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 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**

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