Data Scientist (P-094)

Costa Rica
Full Time
SDT
Experienced

 

SMASH, Who we are?

We are agents for tech professionals in Costa Rica and Colombia that help them build careers in the United States. 

We believe in long-lasting relationships with our talent. We invest time getting to know them and understanding what they seek as their professional next step. 

We aim to find the perfect match. As agents, we pair our talent with our US clients, not only by their technical skills but as a cultural fit. Our core competency is to find the right talent fast.

We purposefully move away from the “contractor” or “outsourcing” type of relationship. Our clients don’t want contractors or “just a service.” Neither does our talent.

Our Benefits:

  • Work from everywhere
  • Private Medical Insurance
  • English Academy for Employees and Relative
  • Business Skills Coach – Certifications
  • Events and Additional Perks

This is a remote position for Costa Rica and Colombia
This position is Remote to work with a US Company; you will require to have Citizenship or a work permit from Costa Rica or Colombia to apply for this role.

Job Description:

What You’ll Do

  • Analysis and Reporting: interrogate data in order to generate actionable insights; develop presentations and interactive reports enabling leaders to grow and act.
  • Data Modeling and Analytics Engineering: design scalable data models that transform raw data to consumption-ready data for analytical and business audiences. Develop efficient and robust data pipelines that support the data models you design.
  • Communicating: synthesize technical developments and key findings into reports and presentations that will inform executive decision making at clients.
  • Teaching and Learning: develop curricula and content that enable the Stratus team to grow through what you learn.

Required

  • Ph.D. in Engineering, Applied Math, Science, or equivalent; OR Masters in Engineering, Applied Math, Science, or equivalent and 3+ years of work experience.
  • Extreme thoroughness and attention to detail.
  • Ability to communicate complex subjects to technical and non-technical audiences.
  • Strong orientation towards collaboration and enabling peer growth.

Preferred

  • Experience with software engineering, applied machine learning, applied statistics, or optimization.
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