Mercafacil

Machine Learning Engineer

• You will bring statistical rigor to business decisions.
• As part of the BI team, your mission is to go beyond descriptive analysis by applying statistical and machine learning models to find patterns, validate hypotheses, and generate forecasts that guide real strategies.
• Model complex problems using Python.
• Work with large volumes of data in ClickHouse and BigQuery.
• Collaborate with product and operations teams to ensure models deliver real value.
• Conduct statistical analyses to answer business questions: hypothesis testing, correlation analysis, segmentation, and predictive modeling.
• Perform exploratory data analysis (EDA) to understand the data before modeling, identifying patterns and inconsistencies.
• Write complex SQL queries in ClickHouse and BigQuery to extract and prepare data for analysis and modeling.
• Use Python for data manipulation, exploratory analysis, and model prototyping.
• Communicate results and insights clearly to business teams — translating statistics into decisions.
• Collaborate with the BI team to define metrics, ensure data quality, and establish analytical best practices.
• Monitor models in production, tracking performance and proposing continuous improvements.

Mid-level Data Analyst – Statistics, Machine Learning

Recruitment

• Conduct the full recruitment cycle for high-complexity positions in Tech (Backend, Frontend, Mobile, Data, Product) and Business (Sales, Customer Success, Support), ensuring a strategic end-to-end perspective;
• Align candidate profiles with leadership, understanding the technical and behavioral requirements of the role;
• Actively source candidates across channels (LinkedIn, GitHub);
• Conduct screenings and interviews, assessing cultural fit and role match;
• Manage the recruitment funnel, ensuring quality, speed, and a positive candidate experience, as well as a good experience for internal stakeholders;
• Create, monitor, and analyze recruitment metrics (time-to-fill, stage conversion, hire quality);
• Support and lead process improvement and intelligence projects, digital transformation, and data initiatives;
• Support continuous improvement of selection processes and the development of best practices;
• Partner with leaders and stakeholders to ensure alignment throughout the process;
• Act as a partner to multiple areas such as DHO, HRBP, EB, People Analytics, and Culture.

Mid-level Data Analyst – Statistics, Machine Learning

Senior Tech Recruiter