Data Scientist / Algorithm Engineer, AdTech

🕒 July 1

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MGID

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

💰 Venture Round on 2009-11

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.

📋 Description

• Explore large-scale event data to identify trends, patterns, and anomalies • Generate insights/ideas, evaluate campaigns’ performance, and 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 while maximizing conversions • 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

• At least 4 years of proven, hands-on experience in data science • Strong understanding of optimization problems • 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) • English: Intermediate/Upper-Intermediate. • Ukrainian: Fluent. • MSc or PhD in Engineering, Statistics, Mathematics or related fields will be a plus. • Familiarity with the AdTech domain is advantageous. • Hands-on experience with A/B testing and business metric optimization is preferred. • Background in working with high-frequency or large-scale event data (e.g., 15B+ events daily) will be beneficial.

🏖️ Benefits

• Become part of a team shaping the future of AdTech! • Opportunity to contribute directly to the development of solutions in an innovative environment.