Data Scientist

MGIDis aglobal innovative pioneer innative advertising that drives revenue growth for all participants ofthe ecosystem.

Join MGID
as a
Data Scientist and become part ofateam shaping the future ofAdTech!

Ifyou thrive on
analyzing data
, uncovering hidden patterns, and transforming insights into powerful solutions, this isyour chance. Wedevelop cutting-edge algorithms that drive the success ofCPA (Cost Per Action) campaigns by achieving target metrics, increasing conversion volume, and maximizing budget efficiency. Ifyou’re ready toextract the maximum value from data and make areal impact onproduct development— we’re waiting for you!

• 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 toassess the impact of algorithm changes.
• Visualization and Reporting: Create dashboards and visualizations totrack key performance indicators (KPIs) and communicate findings to stakeholders.

• Proactive problem-solving attitude: ability to independently analyze data, identify hidden issues, formulate hypotheses, suggest effective solutions, develop and test them.
• Ability toanalyze and deeply explore data toextract valuable insights; ability to visualize and communicate those insights.
• Proven experience indata science, with astrong understanding of optimization problems.
• Proficiency in Python and SQL, including data manipulation and feature engineering.
• Expertise inmachine learning techniques and tools (e.g., Cat Boost, XGBoost, Tensor Flow, PyTorch, scikit-learn).

• The ideal candidate holds aMSc orPhD in Engineering, Statistics, Mathematics orrelated 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 inworking with high-frequency orlarge-scale event data (e.g., 15B+ events daily).

Joinus atMGID and beakey player inour innovative, results-driven AdTech team. Ifyou’re an experienced recruiter who is passionate about connecting with talent, embracing challenges, experimenting with new approaches, and making a global impact, wewant tohear from you! Bepart ofacompany where you feel supported, and connected, and have the flexibility toexcel personally and professionally. Wevalue your background, ideas, and enthusiasm for continuous improvement.