Hybrid Data Scientist - ML & Production Analytics (Lisbon)
Riskified
Lisboa
Híbrido
EUR 40 000 - 60 000
Tempo integral
14 dias+
Gerador de candidaturas
Uma candidatura completa num minuto — currículo e carta de apresentação personalizados, prontos a enviar.
Ultrapassa os filtros ATS
Vantagens oferecidas por esta oferta de emprego
Benefits package for work-from-home equipment
Gym membership
Wellbeing activities
Hybrid work mode
Resumo da oferta
A leading tech company is seeking a Data Scientist in Lisbon to leverage advanced algorithms and data to drive insights and decision-making. The successful candidate will collect and analyze data, develop predictive models, and work collaboratively across teams. Requirements include a B.Sc in a relevant field and 3+ years of practical machine learning experience. The role offers hybrid working options and various benefits, empowering you to thrive in a dynamic environment.
Qualificações
3+ years of experience in machine learning algorithms and production deployment.
Proficiency in Python and data manipulation tools.
Strong foundation in statistical concepts.
Responsabilidades
Collect, clean, and transform large data sets.
Apply statistical methods to identify trends.
Develop and implement machine learning algorithms.
Build and optimize predictive models.
Present analysis results using visualization techniques.
Conhecimentos
Machine Learning
Statistical Analysis
Python
Data Visualization
Critical Thinking
Formação académica
B.Sc in Computer Science or related field
Ferramentas
SQL
Pandas
NumPy
Airflow
Docker
Descrição da oferta de emprego
A leading tech company is seeking a Data Scientist in Lisbon to leverage advanced algorithms and data to drive insights and decision-making. The successful candidate will collect and analyze data, develop predictive models, and work collaboratively across teams. Requirements include a B.Sc in a relevant field and 3+ years of practical machine learning experience. The role offers hybrid working options and various benefits, empowering you to thrive in a dynamic environment.
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