Senior Data Scientist (C-535)

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

Senior Data Scientist

We are looking for a Senior Data Scientist with strong experience in Python and R, and a proven track record of developing and deploying machine learning models in real-world business environments.

The ideal candidate is not just academically skilled but has spent a significant portion of their professional career building data-driven solutions on the job. This role requires someone who understands the full lifecycle of a machine learning project—from problem framing, data preparation, model development, and validation, to deployment and continuous improvement.

Key Responsibilities:

• Design, build, and implement machine learning models to solve complex business problems.
• Work closely with cross-functional teams to understand business goals and translate them into analytical solutions.
• Apply expertise in Python and R to manipulate large datasets, build predictive models, and communicate findings.
• Evaluate model performance using appropriate statistical techniques and iterate based on feedback and performance metrics.
• Collaborate with engineering teams to integrate models into production systems.
  
  

Qualifications:

• Strong hands-on experience in Python and R.
• Demonstrated success in building and deploying machine learning models in a professional setting (not just academic or personal projects).
• Solid understanding of data science fundamentals, including supervised and unsupervised learning, feature engineering, and model evaluation.
• Experience working with real-world data and solving business-critical problems.