• The MSM Data Science team tackles the most critical problems in the MSM business through a data-driven approach. • As a senior data scientist, you will drive business growth by identifying opportunities, diagnosing issues, and shaping product direction through analytical thinking and scientific expertise.

• Data Analysis and Research: Analyze large-scale ad delivery and performance datasets to extract meaningful insights, separate signal from noise, and uncover opportunities to improve campaign effectiveness and targeting within Moloco’s MSM ecosystem. • Scientific Approach to Problem Solving: Use data-driven hypotheses and structured analysis to understand system behavior and improve campaign performance and delivery outcomes. • Experimentation and Causal Inference: developing a robust experiment design and metric framework and providing reliable and unbiased insights for product and business decision-making.

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering). • 5+ years of work experience in data science-related fields or an advanced degree such as a Master’s or Ph.D. in a quantitative discipline with 3+ years of experience • Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation. • Excellent verbal and written communication skills, with the ability to present information and analyze results effectively. • Ability to build positive relationships within DSA and with our stakeholders and work effectively with cross-functional partners in a global company. • Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models. • Machine Learning: must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation. • Programming: experience with Python, R, or other scripting languages, and database language (e.g., SQL) or data manipulation (e.g., Pandas, Dplyr) are required.

• Advanced degree such as Master’s or PhD in a quantitative discipline. • Ability to manage multiple projects at the same time while paying attention to detail and translating analysis results into business recommendations. • Proven ability to own projects end-to-end, even when you have to get creative: you do more than complete delegated tasks. • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

For more details, please refer to the company website.