Senior Data Scientist, Spark, Feature Engineering

September 25

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MGID

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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

• Join MGID as a Data Scientist and become part of a team shaping the future of AdTech. • Explore data to identify trends, evaluate campaign performance, and support decision-making. • Design, implement, and optimize algorithms for CPA (Cost Per Action) optimization. • Build and refine predictive models to improve decisions for CPA campaigns, ensuring alignment with business objectives. • Work closely with product and 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. • Extract maximum value from data to inform product development and increase conversion volume and budget efficiency.

🎯 Requirements

• Proactive problem-solving attitude: ability to independently analyze data, identify hidden issues, formulate hypotheses, suggest effective solutions, develop and test them. • Ability to analyze and deeply explore data to extract valuable insights; ability to visualize and communicate those insights. • 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. • Will be a plus: MSc or PhD in Engineering, Statistics, Mathematics or related fields. • Will be a plus: Familiarity with the AdTech domain. • Will be a plus: Experience with big data technologies (Spark, Hadoop) and processing large datasets. • Will be a plus: Hands-on experience with A/B testing and business metric optimization. • Will be a plus: Background in working with high-frequency or large-scale event data (e.g., 15B+ events daily).