AI Data Scientist / ML Engineer — Remote, Equity

Oraion; Portugal; Remote; EUR 50,000 - 70,000; Full time

Benefits offered by this job

Ground-floor opportunity to shape solutions

Work alongside experienced founders

Competitive compensation + early equity

Remote-friendly, flexible work culture

Job summary

A growing data solutions company in Portugal is seeking a Mid-Senior Data Scientist / ML Engineer to develop and deploy machine learning models that turn complex data into actionable insights. The ideal candidate will have over 5 years of experience in data science, be proficient in Python, and possess strong problem-solving and communication skills. This role offers competitive compensation, early equity, and a flexible remote work culture.

Qualifications

• 5+ years of experience in data science or machine learning roles.
• Experience building and deploying machine learning models in production.
• Experience with time series data and anomaly detection is a plus.

Responsibilities

• Develop, train, and deploy machine learning models for data analysis and prediction.
• Collaborate with data engineers to design data pipelines for efficient model training and deployment.
• Communicate complex data insights and model results to non-technical stakeholders.

Skills

Proficiency in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)

NLP techniques

Deep learning

Predictive modeling

Data structures and algorithms

Big data frameworks (e.g., Spark, Dask)

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science

Tools

AWS

MLOps tools

Job description

A growing data solutions company in Portugal is seeking a Mid-Senior Data Scientist / ML Engineer to develop and deploy machine learning models that turn complex data into actionable insights. The ideal candidate will have over 5 years of experience in data science, be proficient in Python, and possess strong problem-solving and communication skills. This role offers competitive compensation, early equity, and a flexible remote work culture.