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Lisbon Angola Tempo Inteiro 08-11-2024

Data Scientist/ML Engineer

Audacity

Data Scientist/ML Engineer

Descrição da Vaga

The Role

You will be responsible for :

  • Developing scripts to process structured and unstructured data.
  • Recommending, developing and implementing ways to improve data reliability, efficiency and quality.
  • Supporting translation of data business needs into technical system requirements.
  • Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility.
  • Defining, developing and maintaining reports to support decision making.
  • Processing & Interpreting data to get actionable insights.
  • Working closely with business users to understand their data analysis needs/requirements.
  • Developing high-quality code to build and deploy machine learning models.
  • Identifying trends, doing follow-up analysis, preparing visualizations.

Ideal Profile

  • You possess a degree in Computer Science, Applied Mathematics, Engineering or related field.
  • You have at least 3 years experience, ideally within a Data Analyst or Data Engineer role.
  • Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
  • You have good presentation and communication skills and the ability to present you findings clearly and accessibly in the form of reports and presentations to senior colleagues.
  • You have working knowledge of Artificial intelligence
  • You are highly goal driven and work well in fast paced environments
  • You possess strong analytical skills and are comfortable dealing with numerical data
  • You enjoy finding creative solutions to problems

What's on Offer?

  • Work within a company with a solid track record of success
  • Leadership Role
  • Flexible working options


Apply

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Como Candidatar-se

  • EmpresaAudacity
  • E-mail ou link de candidaturahttps://careers.kbr.com/us/en/job/KIVKBRUSR2088531EXTERNALENUS/Schedule-Planner?utm_source=linkedinjobboard&utm_medium=phenom-feeds
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