Data Scientist in Wolf SpA

Closed job - No longer receiving applicants

Wolf is revolutionizing the temp staffing industry. We are building the world's most advanced staffing platform that allows any temporary staffing company to become 'On Demand staffing'.
After being in business for years, We are now building a new platform from scratch with latest technologies and complete focus on Machine Learning and Robotic process automation.
We are based out of New York and Chile.
Utilize the following to develop ML and Automation of platform
  • Natural Language processing
  • Supervised and unsupervised algorithms
  • Binary and multi-class classification using models like SVM and SVN
  • Tagging using neural networks
  • Regressions and correlation analysis
  • Clustering
  • Anomaly Detection

Job description

About Us:
Wolf is democratizing the on-demand staffing market. By allowing staffing companies of any size or entrepreneurs to have their own completely branded white label on-demand staffing platform. Powered by advanced AI, this platform automates the entire temporary staffing process with minimal or no human intervention.
About You
We are looking for data scientists to join as product team member to ownership and collaborate on the creation of a Cloud Native app. Automation and Autonomy are the foundation of the product through intensive use of intelligence (ML) and advanced patterns such as autonomous agents and events driven architectures.
Requirements:
Experience programming primarily on Python and secondary on R is required. Also is required experience on:
  • Natural Language processing
  • Supervised and unsupervised algorithms
  • Binary and multi-class classification using models like SVM and SVN
  • Tagging using neural networks
  • Regressions and correlation analysis
  • Clustering
  • Anomaly Detection
Experience on the next subjects are highly evaluated:
  • Semantic networks
  • Causal Models
  • Cloud computing like Google Cloud ML Engine or Azure ML
  • Distributed computing using Spark or Dask
  • Experience on frameworks like Pandas
Additionally will be considered
  • Experience on GPU processing with tools like Pytorch or Tensorflow

Desirable skills

  • Experience on GPU processing with tools like Pytorch or Tensorflow

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