Data Scientist

Buenos Aires, Argentina
Work Type: Full Time

What we are looking for

  • A strong technical foundation.
  • Curious about learning how things work.
  • Self-motivated and passionate programmer and problem solver.
  • A team player with a positive attitude, eager to learn enough about whatever tools or tricks are needed to get the job done.

Main Responsabilities 

  • Detection of critical variables to impact key business results.
  • Data management through SQL NoSQL databases.
  • Work constantly with complex queries and big datasets so we deliver the best analytics to our customers
  • Develop and implement a strategy for a sustainable and scalable operation over time through analyzing processes,
    behaviors, and feedback.

What we offer

  • Think through hard problems, and work with amazing people to make the solutions a reality.
  • Work in a dynamic, collaborative, non-hierarchical environment where talent is valued over job title or years of experience.
  • Build bespoke software using the latest technologies and tools.
  • Become part of an interdisciplinary team that wants to succeed.
  • Vacation, take it when you need it, no defined schedule.

Key Qualifications

  • You have a Bachelor's degree in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or another quantitative field is preferred.
  • You have a proven track record of success as a Data Analyst with hands-on working experience in R, SQL, or Python.
  • Experience with REST API: design and implementation, client development, security considerations, etc.
  • No-SQL database knowledge.
  • Excellent English in written and verbal skills.

Nice to Have

  • Experience working with PowerBI or similar
  • Experience with Typescript
  • You are experienced in BI and machine learning projects
  • Experience working with NodeJS
  • Ability to work well with advanced Javascript techniques including asynchronous code execution, closure, complex scope resolution and execution context, and custom event handlers.
  • Experience developing in a Git environment.

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