Data Scientist

Data Scientist




Data Scientist

Detalhes da Vaga

At skeeled (Full-time), in Porto, Portugal
Salary: €25.000 - €30.000
Expires at: 2020-03-19

skeeled is an all-in-one hiring solution designed to support recruiters and HR departments with a disruptive approach to digitalise and automate the entire first steps of the recruitment process.
We are now looking for an experiencedData Scientist. Your responsibilities will include:
Design and implementation of Machine Learning (ML) tools
Develop metrics to validate the performance of the developed ML algorithms and benchmark these algorithms
Bring innovative ideas to the use of AI in specific recruitment steps and procedures through the use of cutting edge technologies
Provide technical guidance and expertise to enhance the existing recruitment ontology
Execute data analysis on available data for business improvement

Who You Are:
Outstanding analytical and critical thinking skills
A high degree of autonomy and goal-orientation
Thorough, organised, responsible, self-disciplined and efficient personality
Willingness to acquire new skills and propose new approaches

Main requirements

At least 2 years of experience
Proved experience in buildings Machine Learning (ML) products (from training and testing to tuning, and delivering)
Proficiency in Python or R
Experience in Machine Learning, NLP, computational linguistics, or related topics
Some work experience in applying ontology, text classification and representation, semantic text similarity, lexicon, and other related NLP methods and technologies to complex operational problems

Nice to have

Help the design and implementation of Natural Language Processing (NLP) and knowledge representation algorithms that enhance specific functions of skeeled HR software;
Experience with Neural Networks, RNN, as well as Tensorflow, Keras and PyTorch (a plus);
Knowledge of resourcing profiling and runtime optimization;
Online portfolio or personal project we can see


PersonalInsurance(Multicare network)

4 days per month ofWork From Home
Flexible work schedule
Extra vacation days

Coursesto improve knowledge on technologies and frameworks skeeled uses
Opportunity to go forconferencesafter 6 months at the company

Coffee and water at the office
Amazing colleagues to learn from and enjoy company social outings, parties, and events
Opportunity to work in a multidisciplinary and supportive team environment where you can learn and develop new sets of skills

Fonte: Neuvoo2_Ppc


  • Outros / Outros empregos