Senior Data Scientist - Ads Marketplace & Platform Optimization

Workable locations: Brazil. Argentina. Mexico. Chile. Germany, overlap of 4 hours with PSTContractSenior

Salary not disclosed

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Job Details

Experience: 5+ years of experience
Required Skills: PythonSQLHadoopMachine LearningData scienceSparkA/B testingBigQueryR

5+ years of experience in Data Science, Machine Learning, or Applied Statistics
Strong experience working on marketplace platforms (e.g., ads platforms, ride-sharing, e-commerce, or similar two-sided ecosystems)
Deep understanding of marketplace dynamics (auction systems, pricing, supply/demand, ranking, or allocation problems)
Strong foundation in statistical modeling, machine learning, and experimental design
Experience with large-scale data processing (e.g., Spark, Hadoop, Hive, or BigQuery)
Advanced proficiency in SQL and working with large relational datasets
Strong programming skills in Python (preferred) or R
Experience building and interpreting A/B tests and causal inference models
Ability to work with cross-functional teams and influence product decisions through data

Design and apply data science and machine learning solutions to improve ads marketplace performance
Analyze large-scale datasets to uncover patterns in marketplace behavior (bidding, pricing, engagement, conversion)
Develop models for prediction, anomaly detection, and optimization
Define and track core marketplace metrics (supply/demand balance, auction efficiency, advertiser value)
Build data assets (tables, dashboards, self-serve tools) to empower product and engineering teams
Partner with Product and Engineering to translate marketplace challenges into DS solutions
Design and analyze A/B experiments and causal inference frameworks to validate impact
Communicate insights and recommendations to cross-functional stakeholders

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