Data Scientist at Profile Software Services Asturias
Career opportunity at Profile Software Services located in Asturias for the position of Data Scientist.
This employment notice was announced on 03 November, 2026 through Website.
Candidates possessing a Bachelor degree are encouraged to submit their application.
Interested individuals should apply directly to Profile Software Services for these vacancies in the Data Science division.
The estimated application deadline is 18 December, 2026, but please verify the exact date in the official advertisement.
To understand the application process and explore other job openings at Profile Software Services, visit the official source or see more details on https://www.
jobseed.
pk.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Technology |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | Profile Software Services |
| Experience Required (In months): | 60 |
| Occupational Category: | Data Science |
| Education Requirements | Bachelor Degree |
| Employment Type: | full-time |
| Advertisement Source: | Website |
| Job Location: | Asturias |
| Country of Appointment: | Spain |
| Employer Contact Phone: | 92608324631 |
| Work Hours: | Flexible working hours with full-time remote arrangement |
Further Details
Profile Software Services is now recruiting in Asturias. Apply for the position of Data Scientist. The required qualification is Bachelor. This role is within the Technology industry. A bachelor degree is preferred. The application process commenced on 03 November, 2026 via Website. Interested and eligible candidates must submit their applications before the deadline on 18 December, 2026. This is a prime opportunity to join a renowned organization. For a step-by-step application guide and full eligibility criteria, please see the official advertisement on https://www.jobseed.pk.
Data Scientist at Profile Software Services
We have an immediate opening for the post of Data Scientist. The job location is Asturias.
Key Requirements:
- Qualification: Bachelor
- Experience: 60 months minimum
- Vacancies: 1
This is a fantastic chance to work with a reputed organization and grow professionally.
Skills
- At least 5 years of professional experience in Python for data analysis and Machine Learning model development
- Proficiency with key data analysis and ML libraries including Pandas, NumPy, and scikit-learn
- Strong experience in exploratory data analysis, data cleaning, and transformation
- Skills in developing, training, validating, and evaluating Machine Learning models
- Solid understanding of statistics and model evaluation metrics
- Experience with SQL and data extraction from diverse sources
- Proficiency in Git for version control and team collaboration
- Knowledge of GitFlow and branch-based collaborative workflows
- Experience with AWS services related to data and Machine Learning
- Understanding of MLOps practices including model versioning, deployment, and lifecycle management
- Experience in putting models into production and monitoring their performance
Duties and Responsibilities:
- Conduct exploratory data analysis to uncover insights and inform model development
- Clean, transform, and prepare raw data for use in Machine Learning pipelines
- Develop and train Machine Learning models to solve complex business problems
- Validate and evaluate model performance using appropriate statistical metrics
- Extract and query data from various sources using SQL and other tools
- Collaborate with team members using Git for version control and code sharing
- Deploy models to production environments, ensuring scalability and reliability
- Monitor model performance in real-world scenarios and make necessary adjustments
- Participate in MLOps processes to manage the model lifecycle effectively
- Contribute to a collaborative team environment focused on technological innovation
How to apply
How to Apply for Data Scientist:
- 💼 Prepare your updated CV highlighting relevant Python and Machine Learning projects.
- 📋 Gather any required documents, such as degree certificates and professional references.
- 🌐 Visit the application link: Apply Now.
- 📝 Complete the online application form with accurate details.
- 📞 For inquiries, contact the employer at 92608324631.
- ⏳ Submit your application before the closing date to be considered.
- ✅ Ensure your application meets all specified requirements for best chances.
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