Data Scientist - End-to-End ML in Production

pofft; Lisboa; Presencial; EUR 60 000 - 70 000; Tempo integral

Resumo da oferta

Damia is seeking a Data Scientist in Lisbon to drive end-to-end data science projects, from exploration to production deployment. You will develop predictive models, engineer features, and communicate insights with stakeholders in a fast-paced tech environment.

The role requires strong Python/ML skills, SQL and data wrangling, with a focus on delivering data-driven decisions. On-site work in Lisbon is expected, with opportunities for innovation and collaboration.

Qualificações

• B.Sc in CS/Math/Statistics or related field (M.Sc a plus).
• 3+ years designing and deploying ML models to production.
• Strong Python, SQL and data manipulation skills (Pandas, NumPy).

Responsabilidades

• Data Exploration and Preprocessing: clean large datasets for analysis.
• Statistical Analysis and Modeling to identify patterns and trends.
• Machine Learning: build and deploy models to solve business problems.
• Feature Engineering: derive meaningful features for model performance.
• Model Development and Evaluation using state-of-the-art techniques.
• Data Visualization and communicating insights to stakeholders.
• Collaborate with cross-functional teams to implement data-driven solutions.
• Stay updated with advances in data science to enhance analytics.

Conhecimentos

Machine learning

Python programming

Statistical analysis

Data wrangling

Formação académica

B.Sc in CS/Math/Statistics

M.Sc is a plus

Ferramentas

SQL

Pandas

NumPy

Descrição da oferta de emprego

Damia is seeking a Data Scientist in Lisbon to drive end-to-end data science projects, from exploration to production deployment. You will develop predictive models, engineer features, and communicate insights with stakeholders in a fast-paced tech environment.

The role requires strong Python/ML skills, SQL and data wrangling, with a focus on delivering data-driven decisions. On-site work in Lisbon is expected, with opportunities for innovation and collaboration.