Machine Learning/data Science Specialist

4 semanas atrás

Porto Alegre, Brasil Hewlett Packard Tempo inteiro
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 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 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**
- 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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