Data Scientist - Lisboa, Portugal - Findhu
Descrição
We're looking to hire aData Scientist to participate in a digital transformation project.
Your Challenge:
- Develop an Intelligent Customer Service Software solution to transform the user experience in an omnichannel context and focus on selfservice channels.
- Introducing Artificial Intelligence cross channels.
- Integrate the IA team contributing objectively to the design and implementation of Key Intelligent Components such as Intelligent search, requests classification and answers automation, documents automation, and next best activity.
Your Best Skills:
- MSc degree or Ph.
D. in Data Science from a renowned institution is a plus
- Experience in relevant work and projects (e.g. as a data scientist or related role)
- Proven knowledge and experience in Data Mining, Machine Learning, and Statistics
- Proficiency in Python and Machine Learning packages (NumPy, SciPy, Scikit-Learn, Pandas, Keras)
- Experience in Deep Learning frameworks such as Tensorflow, PyTorch,
- Communicative mindset and team collaboration skills
- Excellent problemframing, problemsolving, and projectmanagement skills
- Fluency in written/spoken
English and Portuguese
Preferred Skills:
- Machine Learning; Algorithmic Coding; Data Science; Communication.
- Programming languages like Java, R, and C++ are a plus
- Knowledge of cloud tools such as Azure, AWS, and Google Cloud is a plus
- Knowledge of big data technologies such as Hadoop, Spark, and Hive is a plus
- Experience in the followup of more junior members of the team is a plus
What we have for you:
- Flexible work regime.
- Hybrid work, 1 day per week, not mandatory.
- Internal mobility across geography, role, or industry.
- Developmental mindset.
- Opportunity to develop solutions on critical services in our society design a better future for all
Tipo de oferta:
Período Integral, Temporário or Contrato de trabalho e termo certo
Benefícios:
- Horário flexível
Horário de trabalho:
- De segunda à sextafeira
- Horário flexível
- Turno de 8 horas
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