Data Science Innovation Lead
hace 3 semanas
Hewlett Packard is seeking an experienced Senior Data Scientist to join our Industrial Print SW & Solutions division in Barcelona, Spain.
Overview:
Our company, HP Inc., is at the forefront of providing innovative printing solutions and services for the graphic arts and commercial printing sectors. We're pushing the boundaries of what's possible with AI&ML, and we need your expertise to help us achieve our goals.
Job Description:
We're looking for a talented Senior Data Scientist who can develop and implement machine learning models and algorithms to solve complex business problems. You'll work closely with architects, data engineers, software engineers, and product managers to integrate AI solutions into our products and services.
Key Responsibilities:
- Develop and implement machine learning models and algorithms to solve business problems.
- Design and conduct experiments, tests, and analyses to develop machine learning models, including both traditional ML and LLMs, for integration into our software portfolio, enhancing product capabilities with AI-driven features.
- Leverage large language models (LLMs) to extract insights, perform natural language processing (NLP) tasks, and automate text generation for business applications.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Perform data wrangling, cleaning, and preprocessing to ensure high-quality data for ML models.
- Build and maintain predictive models, optimizing their performance for accuracy, scalability, and interpretability.
- Monitor and validate model performance, fine-tuning and retraining as necessary to improve results.
- Stay updated with the latest developments in AI and machine learning technologies and incorporate them into ongoing projects.
- Presentation of findings and recommendations to technical and non-technical stakeholders through clear and concise reports and visualizations.
- Compliance with data privacy regulations and ethical guidelines in the handling of data and development of data-driven models.
- Participation in code reviews and provision of constructive feedback to peers.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Engineering, Data Science, or a related field.
- 5+ years of experience in data science (developing machine learning models).
- Proficiency in programming languages required (Python is our go-to language).
- Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn, Pandas).
- Experience working with LLMs (e.g., GPT, LlaMa, etc.), fine-tuning pre-trained models, and applying them to real-world NLP tasks.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Understanding of data preprocessing techniques and tools.
- Strong problem-solving skills and the ability to analyze complex data.
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Ability to work collaboratively in a team environment.
- Commitment to continuous learning and staying updated with the latest AI advancements.
- Familiarity with ethical considerations and best practices in AI development.
- Relevant certifications in Data, ML, Software, or cloud platforms are a plus.
- Fluency in English (equivalent to C1 or higher).
Salary: €120,000 - €150,000 per year, depending on experience. Benefits include comprehensive health insurance, pension plan, and generous paid time off.
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