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Job Description

Segundamano is the leader in online classified ads in Mexico. Our goal is to provide an easy way to buy and sell between private and professional users, and to help sellers increase their business.

Segundamano is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.


Main Responsabilities:

  • Collaborate in multidisciplinary teams to understand the business questions and solve them in a data-driven approach.
  • Propose metrics to define success of new and existing features.
  • Develop monitoring tools than encourage self-service data-driven decision making.
  • Understand user needs and propose features that solve them with ML based products.
  • Transform large and complex datasets from different sources into clean and organized datasets for ML training.
  • Translate robust analysis and mathematical treatment of large datasets into actionable insights.
  • Work closely with data engineers to deploy ML models in QA and PROD.
  • Design experiments to continuously improve new and existing models.
  • Collaborate with stakeholders to align needs and priorities within the organization.

Company Description

Must Have Qualifications or Experience:

  • 3+ year demonstrated experience working with big data analysis.
  • Experience working with projects that involve ML.
  • Strong product and business focus.
  • SQL Intermediate level.
  • Comfortable exploring and visualizing data with Python.
  • Familiarity with Python libraries oriented to data exploration and Data Science (Pandas, Scikit-Learn, NumPy, etc.).
  • Experience using Tableau and other data visualization tools.
  • Eagerness to work in a fast-paced, multi-tasked environment.
  • We’re looking for curious people with self-directed learning.
  • Ability to assume project-oriented work, synthesizing information and presenting findings.
  • Superb oral and written communication skills in Spanish and English.
  • Experience deploying ML models in production

Additional Information

Nice to Have Technical Qualifications

  • Strong organization skills
  • Experience with Big Data oriented cloud technologies (AWS, GCP)
  • Familiarity with Spark (Scala or Python) for data exploration and treatment.