Remote Data Scientist Role with Profile Software Services in Spain

Further Details

This role involves a 100% remote Data Scientist position based in Spain, offered by Profile Software Services. The company prioritizes a team-focused approach and encourages professional development within a technology-driven sector. If you are passionate about data analysis and machine learning, this is a chance to contribute to innovative projects while enjoying significant work-life balance benefits.

Remote Data Scientist Opportunities in Spain with Profile Software Services

Profile Software Services is actively seeking a skilled and motivated Data Scientist to join their innovative team. This role offers a 100% remote working arrangement within Spain, providing an excellent work-life balance. The company is dedicated to technological advancement and seeks individuals who are committed to teamwork and continuous professional growth.

Ideal candidates will possess extensive experience in Python for data analysis and machine learning, coupled with a strong understanding of statistical principles. The position involves working with cutting-edge tools and cloud platforms, contributing to the development and deployment of sophisticated machine learning solutions.

• Minimum 5 years of Python experience in data analysis and ML.
• Proficiency in Pandas, NumPy, scikit-learn.
• Experience with SQL and AWS services.
• Knowledge of MLOps and Git for version control.
• Opportunity for career development in a remote setting.

Skills

• At least 5 years of professional experience utilizing Python for data analysis and machine learning model development
• Proficiency with key data analysis and machine learning libraries such as Pandas, NumPy, and scikit-learn
• Experience in exploratory data analysis, data cleaning, treatment, and transformation
• Proven ability in developing, training, validating, and evaluating machine learning models
• Solid understanding of statistics and model evaluation metrics
• Experience with SQL for extracting and querying data from diverse sources
• Familiarity with Git for version control and collaborative teamwork, including GitFlow
• Experience with AWS, particularly services related to data and machine learning
• Knowledge of MLOps and experience in versioning, deploying, and managing the lifecycle of machine learning models
• Experience in deploying and monitoring models in production environments

Duties and Responsibilities:

• Conduct advanced data analysis using Python
• Develop and implement machine learning models
• Perform exploratory data analysis and data cleaning
• Train, validate, and evaluate machine learning models
• Extract and query data using SQL
• Utilize Git for version control and team collaboration
• Work with AWS services for data and ML tasks
• Manage the lifecycle of machine learning models using MLOps practices
• Deploy and monitor machine learning models in production

How to apply

• Prepare Your Application: Ensure your Curriculum Vitae (CV) highlights your experience in Python for data analysis, machine learning model development, SQL, Git, and AWS services. Additionally, professional growth are available for qualified candidates. Include details on your experience with data cleaning, transformation, and model evaluation.

• Review Requirements: Carefully read through the job description to confirm you meet all the essential criteria, particularly the minimum of 5 years of professional experience.

• Access the Application Portal: Visit the provided application link to submit your candidacy.

• Complete Application Form: Fill out the online application form accurately and completely, providing all requested information.

• Submit Your Application: After completing the form, submit your application before the closing date of December 18, 2026.

• Onboarding Process: If selected, you will go through a comprehensive onboarding process designed to make you feel at home from day one, including a welcome pack.

• Contact Information: For any inquiries, refer to the contact details provided by the recruiting platform or company website.

• Privacy Policy: You can consult the company's Privacy and Data Management policy at https://profile.es/politicadeprivacidad/.