Drimo
Drimo
51 – 200 Employees
ConsultingEnterpriseLogistics
Drimo is a Latin American IT services and software development company founded in 2012, helping enterprise organizations extend their technical teams and deliver complex technology initiatives. Its work spans staff augmentation, custom software development, data and cloud solutions, API design, and IT consulting, with an emphasis on secure, enterprise-ready delivery. Drimo supports B2B clients across consulting, logistics, and other industries from offices in Santiago, Bogotá, and Miami, bringing together experienced technical professionals and AI-ready development capabilities.

Data Scientist – Hybrid in Las Condes, Chile

Build AI and optimization products for a recognized airline, turning operational challenges into data-driven models and solutions. Partner with Product and Engineering to move initiatives from discovery through production.

Description

  • Build AI and optimization products.
  • Accelerate discovery, experimentation, and model development.
  • Convert operational challenges into data-driven solutions.
  • Collaborate closely with Product and Engineering.
  • Support initiatives from problem definition through production.
  • Expand access to data and promote its responsible use.
  • Influence business and product decisions.
  • Develop analytical solutions and models.
  • Translate business needs into analytical problems.
  • Take ownership of problems and outcomes.
  • Advance analytical capabilities and ways of working.

Requirements

  • Understanding of business objectives and metrics.
  • Analytical problem formulation, including defining and standardizing product and business metrics, funnel analysis, and impact assessment.
  • Advanced experimental design, including A/B testing and applied causal inference.
  • Experience with Statsmodels, Pyfixest, and SciPy.
  • Predictive modeling focused on supporting decision-making.
  • Experience with Scikit-learn and MLFlow.
  • Advanced SQL and Python, including Pandas, Polars, and NumPy.
  • Experience with BigQuery and analytical data modeling and transformation.
  • Knowledge of data quality and validation practices.
  • Governed reporting with Looker Studio or other business intelligence tools.
  • Visualization experience with Matplotlib, Seaborn, and Plotly.
  • Production deployment of models and solutions using Docker and MLFlow.
  • LLM monitoring and evaluation, along with responsible AI and ethical analytics.
  • Availability to work in a hybrid arrangement in Las Condes, with two days per week on-site.

Benefits

  • A day off for your birthday.
  • Courses and certifications to support continued learning.
  • Five additional vacation days per year.
  • Supplementary health and dental insurance.

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