This Job Vacancy has Expired!

Data Scientist

Posted on Dec 21, 2019 by skeeled

Porto, Portugal
IT
Immediate Start
€25k - €30k Annual
Full-Time
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 experienced Data 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
  • 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
Perks

  • Personal Insurance (Multicare network)
  • 4 days per month of Work From Home
  • Flexible work schedule
  • Extra vacation days
  • Courses to improve knowledge on technologies and frameworks skeeled uses
  • Opportunity to go for conferences after 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

Reference: 815871598

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