Data Scientist

In Omnios we specialize in the implementation of Artificial Intelligence in process optimisation and data processing.

We partner with big companies from fast moving sectors accelerating and standardizing their decision making through our own NLP algorithms and dynamic dashboards that gather and filter the information they require.

In Omnios you will have the opportunity to contribute to the development and implementation of advanced artificial intelligence and machine learning solutions specializing in the analysis modeling and understanding of complex data to enhance the companys NLP and LLM capabilities.

Tasks

Data Analysis and Modeling:

• Design and build predictive data models and machine learning algorithms.
• Perform exploratory data analysis to understand trends patterns and key relationships.

Data Processing and Cleaning:

• Prepare and process large datasets for analysis and modeling.
• Ensure data quality and resolve issues with missing or erroneous data.

AI Solutions Development:

• Collaborate with software development and AI teams to integrate data models into product solutions.
• Stay uptodate with the latest trends and technologies in data science and machine learning.

Collaboration and Communication:

• Work closely with other technical and business teams to understand and define data analysis needs.
• Communicate complex findings clearly and effectively to nontechnical stakeholders.

Innovation and Continuous Improvement:

•  Explore new techniques and tools to improve existing models.

•  Contribute to the development of best practices in data science within the organization.

Requirements

• Proven experience in data science roles preferably in environments related to AI and NLP.
• Strong knowledge of programming languages such as Python or R and data analysis tools.
• Experience with big data processing tools and machine learning platforms.
• Strong analytical and quantitative skills with attention to detail and accuracy.
• Ability to work in a dynamic and collaborative environment.

Benefits

• Competitive salary.
• Flexible schedule (40h):

Monday to Thursday: checkin 08:00h09.30h;

Fridays: from 09:00h to 15:00h

• 2 remote days per week.
• 23 vacation days per year 1 for your birthday.
• True impact in a disrupting and dynamic AI company.
• Knowledgesharing culture learn from your colleagues but also teach them.