Data Analyst, Scientist

Summary

Join MGID as a Data Analyst/Scientist and contribute to a team focused on AdTech innovation. You will analyze data, develop algorithms for CPA campaign optimization, build predictive models, and collaborate with product/business teams. Responsibilities include data exploration, algorithm design and optimization, A/B testing, and creating visualizations to communicate findings. The role requires proven experience in data science and analysis, proficiency in Python and SQL, expertise in machine learning, and experience with big data technologies. A strong background in statistical analysis 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)