Data Science Lead - Fashion Analytics

Metyis

Porto

Presencial

EUR 70 000 - 90 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

Metyis is seeking a Data Science Lead with 5-8 years of analytics experience to join our Porto team. You will manage client interactions, translate business problems into analytics solutions, and provide project oversight to ensure outcomes.

You will guide junior team members, contribute to dashboards and presentations, and identify opportunities beyond current projects as our global data and analytics capabilities expand.

Qualificações

  • 5-8 years of professional work experience in analytics.
  • Advanced degree in a quantitative field.
  • Strong analytical thinking, ability to decompose problems and derive hypotheses from data analysis.
  • Strong technical skills in data analysis, statistics, and programming (Python, Hadoop, SQL, R).
  • Experience with Python data tools: Jupyter, Pandas, Scikit-Learn, Matplotlib.

Responsabilidades

  • Manage client interactions and play a key role in building and maintaining client relationships.
  • Translate business problems into analytics solutions with output and impact.
  • Provide project management oversight to meet client expectations.
  • Develop presentations and manage external relationships.
  • Seek compelling opportunities beyond the current project scope.
  • Guide junior team members and orchestrate the work of the team.

Conhecimentos

Analytical thinking
Data analysis
Programming
Communication

Formação académica

Advanced degree in quantitative field

Ferramentas

Python
Hadoop
SQL
R
Jupyter
Pandas
Scikit-Learn
Matplotlib

Descrição da oferta de emprego

Metyis is seeking a Data Science Lead with 5-8 years of analytics experience to join our Porto team. You will manage client interactions, translate business problems into analytics solutions, and provide project oversight to ensure outcomes.

You will guide junior team members, contribute to dashboards and presentations, and identify opportunities beyond current projects as our global data and analytics capabilities expand.

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