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SENIOR DATA SCIENCE ENGINEER (M/F) – REMOTE

Lisboa - Lisboa

Descrição da oferta de emprego

Match Profiler is an Information Systems consultant who has been working in the national and international market since .
We have multidisciplinary skills and IT know-how that allow us to contribute, optimize and progress with our clients.
We are currently recruiting, for integration in our internal team/client, professionals with the following profile.
Senior Data Science Engineer (m/f) – Remote What do you need to have.
Hard Skills.
• Bachelor's/Master´s degree in relevant field, PHD preferred • Minimum 6 years • Solid Knowledge on design and implement Machine Learning models and algorithms to solve complex business problems • Machine learning packages like scikit-learn, TensorFlow etc.
• Working with large datasets to derive actionable insights • Languages like Python or R • SQL • Cloud based AI/ML and data analytics tools such as AWS,GCP, Azure • Data visualization using tools like Tableau or PowerBI • End-to-end Machine Learning Lifecycle (including model deployment) (plus) • Recommendation Systems / Time series and forecasting analysis / Clustering / Language models / Computer Vision (plus) • Familiarity with Big Data technologies such as Hadoop, Spark, etc (plus) • Familiarity with DevOps principles (plus) • Good Domain Knowledge, enabling better understanding of data and business needs (plus) Soft skills • Good communication • Team spirit • Proactivity • Time management What we can offer.
• Personalized support from your team • Your manager will take into consideration your motivations and suggestions • Victories will be celebrated together • Your HR and Support Teams will always be available to help • Constant feedback on your work • A network of hundreds of partnerships with companies from numerous sectors that offer you exclusive discounts (health, well-being, travel, gastronomy, culture, leisure, training, etc) • And, of course, many gatherings and social events
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Detalhes da oferta

Empresa
  • Match Profiler
Localidade
Endereço
  • Indeterminado - Indeterminado
Tipo de Contrato
  • Indeterminado
Data de publicação
  • 08/10/2024
Data de expiração
  • 06/01/2025
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