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emagine

Data Scientist

emagine
Portugal · Full-time · Not Applicable

We’re looking for a Mid Data Scientist ready to make a difference by crafting impactful data-driven solutions. This dynamic role offers the chance to work closely with diverse teams, developing analytical and machine learning models that create measurable business value.

Main Responsibilities:

  • Develop analytical and machine learning models that drive business value.
  • Conduct Exploratory Data Analysis (EDA) and perform feature engineering.
  • Evaluate and tune supervised and unsupervised ML models.
  • Utilize ML experimentation tools to streamline processes.
  • Create visualizations to communicate insights and support decision-making.
  • Collaborate across different data teams to ensure integration and consistency.

Key Requirements:

  • Strong knowledge of Python, including libraries such as NumPy, pandas, and scikit-learn.
  • Experience in Exploratory Data Analysis (EDA) and feature engineering.
  • Solid foundation in statistics and probability.
  • Proven experience with supervised and unsupervised ML models.
  • Proficient in SQL for data analysis.
  • Understanding of model evaluation and validation strategies.
  • Familiarity with cloud ML platforms like Azure ML and AWS SageMaker.
  • Experienced in data visualization using tools like Matplotlib and Tableau.
  • Knowledge of MLOps fundamentals.
  • Exceptional analytical thinking and problem-solving capabilities.

Nice to Have:

  • Experience with model registry and deployment lifecycle in MLOps.
  • Familiarity with BI tools for enhanced data visualization.
  • Ability to adapt to new project requirements and data.
  • Proficient communication skills for diverse audiences.

Other Details:

Needs to go to the office 2 times a week.

Key Skills

Ranked by relevance

machine learning data analysis data visualization matplotlib python pandas cloud numpy mlops sql aws
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Posted
Jun 14, 2026
Type
Full-time
Level
Not Applicable
Location
Lisbon
Company
emagine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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