Senior Data Scientist
Há 5 dias
Hewlett Packard's premier research and development organization in Brazil is seeking a highly skilled data scientist to join our team. As a key member of our Future Technologies and Experiences Group, you will be responsible for researching and developing generative AI models and collaborating with other team members and business unit partners to develop proof-of-concept prototypes and drive technology adoption.
Key Responsibilities- Lead complex data science projects to mine data using modern tools and programming languages, driving business value and innovation.
- Develop and implement models to uncover patterns and predictions, creating business value and innovation.
- Establish and maintain relationships with business partners to evaluate and foster data-driven innovation, providing domain-specific expertise in cross-organization projects and initiatives.
- Communicate insights effectively through visualizations, highlighting business value and innovation potential.
- Collaborate with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
- Prepare and present literature, presentations, and invention disclosures for peer review and publication in industry data science domain initiatives and conferences.
- Ensure insights are communicated regularly and effectively, reviewing designs, models, and data compliance.
- Define, communicate, and drive data insights and innovation into the business.
- Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
- Provide guidance, training, and mentoring to less experienced staff members.
- Four-year or graduate degree in mathematics, statistics, economics, computer science, data science, or a 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.
- Programming language certification (SQL, Python, or similar)
- Broad knowledge of machine learning, statistical modeling, and data mining.
- Expertise in 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.
- Technical leadership.
- Effective communication.
- Results orientation.
- Learning agility.
- Digital fluency.
- Customer centricity.
- Impacts multiple teams and may act as a team or project leader, providing direction to team activities and facilitating information validation and team decision-making processes.
- Responds to moderately complex issues within established guidelines.
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