Data Scientist

Job description

Available remote

This is an excellent opportunity to join a great  multi-national company dedicated to providing IT solutions around the globe. We believe that clients should be able to focus on their business development while letting us take care of the rest that happens under the hood.


We are looking for a Data Scientist, to rock it!  

You will work in special projects with a brilliant team helping our clients to succeed

Main Responsibilities 

  • Understand and improve data science standard patterns, templates and artifacts for platform architecture, data science development approaches, data models and new technology adoption and rollout
  • Define patterns and share technical approaches and best practices among other developers; simplify and communicate completed work to broader audiences across the company
  • Mentor other team members on technical skills, best practices, problem-solving approaches and standard patterns
  • Troubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines
  • Allocate team resources across projects to balance the workload according to available capacity, planning dependencies and prevailing priorities
  • Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery

What do we offer?

  • Attractive compensation package
  • Possibility to work remotely
  • Home Office
  • Flex shifts
  • Nice work spaces and brand new offices
  • And so much more Onsite benefits.


  • Over 4 years of experience in similar roles
  • Tools/Tech
  • Python
  • Tensorflow
  • Docker
  • R
  • SQL
  • AWS/GCP (EC2/Cloud Engine, Lambda/Cloud Functions)
  • Dialogflow
  • Unity
  • Web Frameworks like Flask, Rshiny, Falcon
  • Streaming services like Kafka, AWS Kinesis, GCP PubSub
  • DS Areas
  • NLP
  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Augmented Reality(AR)
  • Data Analytics and Visualization