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Senior Data Scientist - Ads Marketplace & Platform Optimization

1 month ago
Mexico, Argentina, Brazil, Chile, Germany
Contract
Senior
Data Scientist
Data Science and Analytics
Apache Spark GCP Hadoop Hive Machine Learning Python R SQL
Apply Now
Gramian Consultancy Group

Gramian Consultancy Group

Professional Services
View All Jobs 26

Description

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

Requirements

  • 5+ years of experience in Data Science, Machine Learning, or Applied Statistics.
  • Strong experience working on marketplace platforms such as ads platforms, ride-sharing, e-commerce, or similar two-sided ecosystems.
  • Deep understanding of marketplace dynamics including 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 tools such as 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.
  • Experience in online advertising or ad tech ecosystems is preferred.
  • Experience with auction optimization, bidding strategies, or ranking systems is preferred.
  • Familiarity with real-time systems or large-scale recommendation systems is preferred.
  • Experience building self-serve analytics tools or data platforms is preferred.

Benefits

  • 8 hours per day with 4 hours of overlap with PST.
  • Contractor or FTE employment type.
  • Long-term engagement with 3-month increments based on performance.

Interested in this position?

Apply directly on the company website

Apply Now

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