Our client is a high-growth, private adtech innovator that leverages machine learning to democratize performance advertising for apps, retailers, and streaming platforms globally. Their tech-driven approach, strong funding, and rapid expansion underscore their leadership in the programmatic ad space.
This client owns a platform that serves advertisers and publishers worldwide. It processes hundreds of billions of bid requests daily, enabling fast, precise ad targeting. Its solutions cater to a diverse customer base-ranging from mobile games to fintech-helping businesses optimize ROI across the digital economy
What client is looking for
- Bachelor's degree and above in a quantitative field with 4+ years and above of work experience in data analytics using statistical packages (e.g., SQL, Python, R, SAS, Stata, MATLAB).
- Programming: working knowledge of SQL and Python (or R) is required.
- Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.
- Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
- Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders.
- Ability to build positive relationships within data science & analytics community, as well as with our business stakeholders and clients.,
- Ability to work effectively with cross-functional and cross-cultural partners.
- An interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
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