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A-LISTWARE

Senior Data Scientist

Remote Senior $6.5k–$10.5k/moest.

Summary

A global, data-driven digital advertising technology company is seeking a Senior Data Scientist to analyze complex datasets, design scalable data pipelines, and develop advanced machine learning models for monetization-related domains at large scale.

What you'll do

  • Analyze large, complex datasets to uncover patterns, insights, and business opportunities
  • Design, build, and own scalable, end-to-end data pipelines
  • Develop and productionize advanced machine learning models and algorithms in monetization domains
  • Build and maintain data models for real-time (online) processing
  • Contribute to creation of new data-driven products and improve existing ones
  • Collaborate with Product, BI, Analytics, DevOps, R&D, and Marketing teams
  • Lead full production releases including requirements analysis, testing, monitoring, and rapid issue response

Requirements

  • 6+ years of experience as a Data Scientist with strong foundation in machine learning concepts and models
  • Previous experience in Ad-Tech industry
  • Hands-on experience with large-scale, high-load systems processing billions of requests per second
  • Production-ready Python experience with modern frameworks and tooling
  • Experience with data science/ML libraries: regression, classification models (XGBoost, LightGBM), recommendation systems
  • Solid understanding of databases and SQL for data analysis and retrieval
  • Experience with monitoring tools such as Grafana and Kibana
  • Proven experience in real-time/online environments
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
  • Strong end-to-end ownership mindset
  • Fluent English with strong communication and collaboration skills

Plus: Familiarity with programmatic advertising ecosystem (DSPs, SSPs, ad exchanges); Experience with relational databases (Vertica, VoltDB) and non-relational databases (MongoDB); PMML experience

Conditions

  • 5-day working week
  • 8-hour working day
  • Remote work

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