Data Scientist

This is a fully remote position, open to applicants in Portugal, +1 more country.

📋 Description

• Gather, process, and analyze both structured and unstructured datasets utilizing Python, SQL, and contemporary data science methodologies.

• Create, validate, and implement machine learning and statistical models aimed at forecasting, customer analytics, and predictive business applications.

• Conduct feature engineering, data preparation, and model optimization.

• Design and sustain analytical workflows and data pipelines, collaborating with Data Engineering teams as necessary.

• Recognize trends, patterns, risks, and opportunities within complex datasets.

• Convert analytical insights into actionable recommendations and present findings to both technical and non-technical audiences.

• Work alongside clients, business stakeholders, and cross-functional teams to provide data-driven solutions.

• Promote data science best practices, modeling methodologies, and reusable analytical frameworks.

• Employ predictive analytics, customer analytics, and advanced statistical methods to address business challenges.

• Participate in client-facing analytics projects from initial discovery to full implementation.

⛳️ Requirements

• Relevant academic qualifications in Data Science, Applied Mathematics, Statistics, Computer Science, Engineering, or equivalent professional experience.

• Over 4 years of experience in Data Science, Machine Learning, Advanced Analytics, or similar data-centric roles.

• Proven experience in delivering analytical solutions from data exploration to model deployment and business integration.

• Ability to work efficiently in multidisciplinary settings.

• Professional proficiency in English.

• Strong practical experience with Python and SQL.

• Experience in developing and deploying Machine Learning and Statistical Models.

• Comprehensive knowledge of Data Analysis, Data Modeling, and Feature Engineering.

• Proven experience working with large datasets and deriving actionable business insights.

• Strong understanding of Predictive Analytics, Customer Analytics, and data science applications driven by business needs.

• Experience in communicating analytical results to both technical and non-technical stakeholders.

• Excellent analytical thinking, problem-solving abilities, and critical reasoning skills.

• Familiarity with the complete machine learning lifecycle, including data preparation, model training, validation, and deployment.

🏝️ Benefits

• Meal allowance: €10.20/day

• Flexible benefits plan

• Private medical insurance

• 22 days of annual leave, increasing every 3 years (up to 25 days)

• Continuous learning through KLX – Keyrus Learning Experience

• Collaborative, international, and human-centered work environment