Gramian Consultancy Group

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Senior Data Scientist - Ads Marketplace & Platform Optimization

2 weeks 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

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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