Senior Data Scientist | Ai Coe

hace 2 meses

Barcelona, España Hewlett Packard A tiempo completo

Location

Global (Based in Barcelona, Spain)

Division

Industrial Print SW & Solutions

Job Description

Your mission at HP Industrial Print

Are you ready to shape the future of the printing industry with the power of AI&ML? HP Industrial Print, a division of HP Inc., is at the forefront of providing innovative printing solutions and services for the graphic arts and commercial printing sectors. Our groundbreaking products and services enable businesses to stay ahead of market changes and expand their capabilities with world-class digital printing solutions with more than 8000 presses worldwide, serving 5500 customers across 82 countries making HP leader of the sector.

As part of the new division of Software & Solutions, our aim is to come together with AI&ML solutions and tools that help to automatize and enhance the IoT ecosystem and that's where you can play a huge role as a Senior Data Scientist

We're looking for you

We are searching for a dedicated and talented Senior Data Scientist who is excited about solving complex problems and deriving insights from data to drive impactful business decisions. Your expertise in data science, statistical analysis, and machine learning will be crucial in advancing our data-driven projects.

If you have a strong background in data analysis, experience with programming languages like Python, and a deep understanding of data science techniques and tools, we would love to hear from you.

Join us and be a part of a dynamic and innovative environment where your contributions will shape the future of AI. If you are ready to take on new challenges, stay at the forefront of AI advancements, and make a real difference, apply now and let's build the future together.

Key Responsibilities

Develop and implement machine learning (ML) models and other 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 architects, data engineers, software engineers, and product managers 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.

Present findings and recommendations to both technical and non-technical stakeholders through clear and concise reports and visualizations.

Ensure compliance with data privacy regulations and ethical guidelines in the handling of data and development of data-driven models.

Participate in code reviews and provide 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 is 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).

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