Data Analyst, Scientist

Summary

Join MGID as a Data Scientist and contribute to a team developing cutting-edge algorithms for CPA campaigns. You will analyze data, develop and optimize algorithms, build predictive models, collaborate with product teams, conduct A/B tests, and create visualizations. This role requires proven data science experience, proficiency in Python and SQL, expertise in machine learning, and experience with big data technologies. A strong understanding of optimization problems and excellent problem-solving skills are essential. The ideal candidate will possess a Master's or PhD in a related field and familiarity with the AdTech domain.

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

Responsibilities

• 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

Preferred Qualifications

• 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)