Data Analyst - Scientist

January 10

Apply Now

Receive Emails with Similar Jobs

MGID

WebsiteLinkedInAll Job Openings

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.

Native advertising • paid content distribution • audience development • website traffic management • advertising

501 - 1000 employees

Founded 2008

💰 Venture Round on 2009-11

📋 Description

• Join MGID as a Data Analyst/Scientist and become part of a team shaping the future of AdTech! • If you thrive on analyzing data, uncovering hidden patterns, and transforming insights into powerful solutions, this is your chance. • We develop cutting-edge algorithms that drive the success of CPA (Cost Per Action) campaigns by achieving target metrics, increasing conversion volume, and maximizing budget efficiency. • If you're ready to extract the maximum value from data and make a real impact on product development — we’re waiting for you! • What You Will Do: Data Analysis: Explore data to identify trends, evaluate campaign performance, and support decision-making. • Algorithm Development: Design, implement, and optimize algorithms for CPA optimization. • Modeling and Optimization: Build and refine predictive models to improve decisions for CPA campaigns, ensuring alignment with business objectives. • Stakeholder Collaboration: Work closely with product/business teams to translate technical solutions into measurable business impact. • Experimentation and Validation: Conduct and evaluate A/B tests to assess the impact of algorithm changes. • Visualization and Reporting: Create dashboards and visualizations to track key performance indicators (KPIs) and communicate findings to stakeholders.

🎯 Requirements

• Proven experience in data science and data analysis, 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). • Experience with big data technologies (Spark, Hadoop) and processing large datasets. • Strong skills in statistical analysis and hypothesis testing. • Ability to visualize and communicate complex data insights. • Excellent problem-solving skills, with a proactive approach to identifying and prioritizing challenges. • English - Upper-Intermediate. • Will be a plus: The ideal candidate holds a MSc or PhD in Engineering, Statistics, Mathematics or related fields. • Familiarity with the AdTech domain. • 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).