MGID
Advertising • Digital Media
MGID is a global leader in native advertising, providing cutting-edge solutions for advertisers and publishers to drive revenue growth. As a pioneer in the field, MGID offers an all-in-one platform for monetization, audience acquisition, and engagement, reaching up to a billion people globally each month. The company is committed to redefining digital media and aiding brands in generating meaningful engagement with consumers through high-quality creatives and programmatic advertising strategies.
501 - 1000 employees
Founded 2008
💰 Venture Round on 2009-11
Data Scientist
October 30
MGID
Advertising • Digital Media
MGID is a global leader in native advertising, providing cutting-edge solutions for advertisers and publishers to drive revenue growth. As a pioneer in the field, MGID offers an all-in-one platform for monetization, audience acquisition, and engagement, reaching up to a billion people globally each month. The company is committed to redefining digital media and aiding brands in generating meaningful engagement with consumers through high-quality creatives and programmatic advertising strategies.
501 - 1000 employees
Founded 2008
💰 Venture Round on 2009-11
📋 Description
• Explore data to identify trends, evaluate campaign performance, and support decision-making. • Design, implement, and optimize algorithms for CPA optimization. • Build and refine predictive models to improve decisions for CPA campaigns, ensuring alignment with business objectives. • Work closely with product/business teams to translate technical solutions into measurable business impact. • 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
• Proven experience in data science, with a strong understanding of optimization problems. • Proficiency 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). • English - Upper-Intermediate. • The ideal candidate holds a MSc or PhD in Engineering, Statistics, Mathematics or related fields • Familiarity with the AdTech domain. • Experience with big data technologies (Spark, Hadoop) and processing large datasets. • Hands-on experience with A/B testing and business metric optimization. • Background in working with high-frequency or large-scale event data (e.g., 15B+ events daily).
🏖️ Benefits
• Professional development opportunities • Remote work options
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