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MGID

Data Scientist / Algorithm Engineer, AdTech

MGID

Data Scientist at MGID developing algorithms for optimizing CPA advertising campaigns and analyzing large-scale event data to drive business insights.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
HadoopPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact
  • Explore large-scale event data to identify trends, patterns, and anomalies
  • Generate insights/ideas, evaluate campaigns’ performance
  • Support decision-making based on findings
  • Design, implement, optimize and test algorithms for CPA optimization
  • Build and refine predictive models to improve decisions for CPA campaigns
  • Ensure alignment with business objectives
  • Work closely with product/business/tech teams to turn technical findings into actionable decisions
  • Conduct and evaluate A/B tests to assess the impact of algorithm changes
  • Create dashboards and visualizations to track key performance indicators (KPIs) and communicate findings to stakeholders

Requirements

What you’ll need
  • At least 4 years of proven, hands-on experience in data science
  • Proficient in Python and SQL, including data manipulation and feature engineering
  • Expertise in machine learning techniques and tools (e.g., CatBoost, XGBoost, TensorFlow, PyTorch, scikit-learn)
  • Experience with big data technologies (Spark, Hadoop) and processing large datasets
  • Intermediate/Upper-Intermediate English
  • Fluent Ukrainian
  • Familiarity with the AdTech domain is a plus
  • Hands-on experience with A/B testing and business metric optimization is a plus
  • Background in working with high-frequency or large-scale event data (e.g., 15B+ events daily) is a plus.

Benefits

Comp & perks
  • Health insurance
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data sciencePythonSQLmachine learningfeature engineeringA/B testingalgorithm optimizationpredictive modelingdata manipulationbig data
Soft Skills
communicationcollaborationdecision-makinganalytical thinkingproblem-solving