Data scientist - sevilla - on site

We are on the lookout for a/an** **Data scientist** **to join our team for working with European Institutions based in** Sevilla **in an **On site** position**.**

**Get to know us - SEIDOR**

At SEIDOR, we drive client transformation and competitiveness with cutting-edge technology and innovation, with a relentless focus on the human element and a commitment to nurturing talent and sustainable growth.

As a diverse and inclusive company that champions equal opportunity, we boast a team of over 8,000 professionals in our general presence across 45 countries in Europe, Latin America, the USA, the Middle East, Africa, and Asia.

We believe the digital world's challenges require not only the best technologies and partnerships but most importantly, the best people. That's where you come in - we need you to help us scale new heights.

For this position you would be working with our client from the European institutions.

DIGIT.A.4 is dedicated to delivering digital solutions that are not only reusable but also optimized for mobile platforms, catering to both the European Commission and citizens throughout the Member States. This mission is carried out in close collaboration with other Commission services.

Among the flagship offerings of DIGIT.A.4 is Corporate Search, a sophisticated service designed to facilitate comprehensive "cross-domain" and "cross-platform" searches. This service is equipped with multiple interfaces that empower users and systems to access relevant information across various domains. Additionally, Corporate Search supports essential integrations necessary for indexing or federating information resources, ensuring robust functionality and seamless access to critical data across platforms.

Below are the details of your role and requirements.

**Your role**
- Gather business requirements and develop advanced solutions for data mining, or evaluate and implement existing data mining, machine learning, and business intelligence solutions.
- Design and specify user-friendly presentation interfaces to optimize usability and user experience.
- Identify, collect, transform, and update various types of data from multiple sources (e.g., ETL processes).
- Develop data models tailored to specific problem statements.
- Engage in scripting and programming activities.
- Contribute to designing and deploying the analytics architecture and its solution stack, considering performance, physical design, and capacity requirements.
- Prepare comprehensive documentation related to these tasks and collaborate with other project teams to manage cross-project dependencies effectively.

**What’s in it for you?**

From day one, you’ll find opportunities for personal and professional development within a supportive team environment. We offer:

- A permanent role at a leading tech project firm (subcontractor also possible).
- A hybrid work schedule, blending in-office collaboration with the convenience of working from home.
- Continuous learning and development through SEIDOR Academy.
- A package including salary and additional annual bonus, working equipment, phone and other benefits.
- A dynamic international workplace with diverse teams.
- A commitment to your well-being, work-life balance, and career growth.
- Rapid advancement opportunities in a short period of time.
- Engaging events and a comprehensive onboarding program.

At SEIDOR, your growth is our success, and we strive to make our workplace feel like home. Discover the nine core aspects of our culture that define us at SEIDOR:
**Who we think you are**
- Strong grasp of Mathematics and Statistics (Linear algebra, Calculus, Probability theory, Optimization, etc.).
- Proficient in Python and/or R programming.
- Skilled in data manipulation: cleaning, preprocessing, and transforming data.
- Experienced with data visualization tools like Matplotlib.
- Knowledgeable in ETL processes and techniques.
- Hands-on experience with various machine learning algorithms (supervised, unsupervised, reinforcement learning).
- Skilled in model evaluation, selection, and validation.
- Understanding of deep learning and neural networks.
- Proficient with RDBMS like Oracle and NoSQL databases like MongoDB or Cassandra.
- Knowledgeable in NLP techniques and libraries (NLTK, spaCy, Transformers).
- Aware of ethical considerations in data collection and analysis.
- Knowledgeable in data privacy laws and regulations.
- Strong business and technical presentation skills.
- Adheres to high-quality standards.
- Adaptable to rapidly changing technologies in Data Science.
- Excellent communication skills for technical and non-technical audiences.
- Ability to present complex findings clearly.
- Proficient in storytelling with data.
- Strong analysis and problem-solving skills.
- Skilled in writing clear and structured reports.
- Fluent in English (written and oral)