Python Agile R Big Data Machine Learning Office

In Omnios we specialize in the implementation of Artificial Intelligence in process optimization and data processing. We partner with big companies from fast moving sectors accelerating and standardizing their decision making through our own NLP...

In Omnios we specialize in the implementation of Artificial Intelligence in process optimization

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.

Our goal is to reduce the time of search and analysis of information, allowing our customers to

increase the efficiency and effectiveness of the decisions they make.

In Omnios, you will have the opportunity to collaborate with our technical team, providing

guidance and contributing essential ideas related to technical solutions, architecture, or the

necessary tools. This will enable us to pursue the goal of further developing cutting-edge

technology-based solutions.


Position Objective.

As Data Science 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 company's NLP

and LLM capabilities.


Key Responsibilities

1. 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.

2. Data Processing and Cleaning:

● Prepare and process large datasets for analysis and modeling.

● Ensure data quality and resolve issues with missing or erroneous data.

3. AI Solutions Development:

● Collaborate with software development and AI teams to integrate data models into

product solutions.

● Stay up-to-date with the latest trends and technologies in data science and machine

learning.

4. 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 non-technical stakeholders.

5. 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.


Qualifications and Skills:

● Advanced degree in Computer Science, Statistics, Mathematics, or related fields.

● 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.


What We Offer:

● The opportunity to work on innovative projects in the field of artificial intelligence and

machine learning.

● A committed and collaborative team in an agile and dynamic work environment.

● Access to continuous training and professional growth opportunities.

● Competitive salary.

● Flexible schedule

● 2 remote days per week.

● 23 vacation days per year + 1 for your birthday.

● True impact in a disrupting and dynamic AI company.

● Knowledge-sharing culture, learn from your colleagues, but also, teach them.

● Young, friendly and flexible work environment.

● A comfortable office in the center of Barcelona.

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