Data Science Intern

The Impact You’ll Be Contributing to Moloco:

Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution.

Some examples of past intern projects are:

• Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco’s complex bidding system.
• Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
• Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling.
• Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.
• Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges

Minimum Qualifications:

• Able and willing to work from our Redwood City, CA. office.
• Available to work during the summer of 2025 (May through September).
• By the start of the internship, actively enrolled in a Bachelor's, Master’s or PhD program in a technical or quantitative discipline, and returning back to the school program at the completion of the internship.
• Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2026.

Preferred Qualifications:

• Experience with SQL, Python and/or R coding languages.
• Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations.
• Ability to work independently, owning projects end-to-end, solving problems without much guidance.