Data Scientist / ML Engineer

Oraion; Portugal; Teletrabalho; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Ground-floor opportunity to shape solutions

Work alongside experienced founders

Competitive compensation + early equity

Remote-friendly, flexible work culture

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

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

Formação académica

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

Ferramentas

AWS

MLOps tools

Descrição da oferta de emprego

Oraion is your single source of truth for enterprise data. Oraion uses agentic AI to turn structured and unstructured enterprise data into non-obvious insights, instantly.

Oraion helps you make faster, more informed decisions and even automate complex tasks, all through a self-serve, chat-based AI agent embedded in your existing workflow such as Slack, Teams or via our Enterprise Intelligence Platform.

We’re looking for a hands-on, data-driven Data Scientist / ML Engineer to join our team and help empower businesses to unlock the full potential of their data.

About the Role

As a Data Scientist / ML Engineer, you will be responsible for developing and deploying machine learning models, transforming complex data into actionable insights, and collaborating with cross-functional teams to drive innovation. You will play a critical role in shaping our AI capabilities, developing ML models for use within our Enterprise Intelligence Platform. Knowledge of LLM’s, RAG and Agents would be beneficial.

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
• Perform data exploration, feature engineering, and data preprocessing
• Optimize model performance for scalability and accuracy
• Use NLP, deep learning, and traditional ML techniques to extract insights from structured and unstructured data
• Validate models using A/B testing and performance metrics
• Communicate complex data insights and model results to non-technical stakeholders
• Contribute to the design and evolution of our AI platform and product roadmap
• Have a product mindset, always looking for ways to improve our platform.

Requirements

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or related field, you should have a good grounding in regression and classification problems and the underlying theory.
• 5+ years of experience in data science or machine learning roles
• Proficiency in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
• Experience with NLP, deep learning, and predictive modeling
• Strong understanding of data structures, algorithms, and data manipulation
• Experience building and deploying machine learning models in production
• Familiarity with cloud platforms (AWS) and MLOps tools
• Strong problem-solving skills and ability to work independently
• Excellent communication skills, with the ability to present complex data insights clearly and effectively
• Experience with big data frameworks (e.g., Spark, Dask) is a plus
• Experience working with time series data and anomaly detection is a plus
• Startup experience is a plus

What We Offer

• Ground-floor opportunity to shape data-driven AI solutions at a fast-growing startup
• Work alongside experienced founders and a driven team
• Competitive compensation + early equity
• Remote-friendly, flexible work culture

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Data Infrastructure and Analytics